Biol*4510 Final Project
Carolyn Vandervelde
2021-03-29
Data from: Mendelsohn, B., Bedrosian, B., Love Stowell, S.M. et al. Population genomic diversity and structure at the discontinuous southern range of the Great Gray Owl in North America. Conserv Genet 21, 693–706 (2020). https://doi.org/10.1007/s10592-020-01280-8
Summary
Species = Great Gray Owl Sample sites = 5 Number of individuals = 123 SNPs = 4817 Environments the original authors interested in = discontinuous southern extent of the Great Gray Owl range in North America Range of values for popden = 0-255 K = 4 using the elbow method
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(fig.width=12, fig.height=8)
setwd("/Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl")
library(usethis)
library(devtools)
library(adegenet)## Loading required package: ade4## Registered S3 method overwritten by 'spdep':
## method from
## plot.mst ape##
## /// adegenet 2.1.3 is loaded ////////////
##
## > overview: '?adegenet'
## > tutorials/doc/questions: 'adegenetWeb()'
## > bug reports/feature requests: adegenetIssues()library(ade4)
library(poppr) ## Registered S3 method overwritten by 'pegas':
## method from
## print.amova ade4## This is poppr version 2.9.1. To get started, type package?poppr
## OMP parallel support: unavailablelibrary(ape)
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──## ✓ ggplot2 3.3.3 ✓ purrr 0.3.4
## ✓ tibble 3.1.0 ✓ dplyr 1.0.5
## ✓ tidyr 1.1.3 ✓ stringr 1.4.0
## ✓ readr 1.4.0 ✓ forcats 0.5.1## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()Read in VCF and pop cood data file
There are 123 individuals sampled from 5 locations within the owls spring breeding range in the US
library(vcfR)
# Read in VCF and pop cood data file
vcf.owl <- read.vcfR("variants_4817snps_123inds.vcf") #read in vcr## Scanning file to determine attributes.
## File attributes:
## meta lines: 1099807
## header_line: 1099808
## variant count: 4817
## column count: 132
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## All meta lines processed.
## gt matrix initialized.
## Character matrix gt created.
## Character matrix gt rows: 4817
## Character matrix gt cols: 132
## skip: 0
## nrows: 4817
## row_num: 0
##
Processed variant 1000
Processed variant 2000
Processed variant 3000
Processed variant 4000
Processed variant: 4817
## All variants processedhead(vcf.owl) #validate## [1] "***** Object of class 'vcfR' *****"
## [1] "***** Meta section *****"
## [1] "##fileformat=VCFv4.2"
## [1] "##FILTER=<ID=PASS,Description=\"All filters passed\">"
## [1] "##samtoolsVersion=1.3.1+htslib-1.3.1"
## [1] "##samtoolsCommand=samtools mpileup -P ILLUMINA --BCF --max-depth 100 [Truncated]"
## [1] "##reference=file:///project/wildgen/bmendels/GG_combine/rep_comb/all [Truncated]"
## [1] "##contig=<ID=Contig_1,length=134>"
## [1] "First 6 rows."
## [1]
## [1] "***** Fixed section *****"
## CHROM POS ID REF ALT QUAL FILTER
## [1,] "Contig_75" "43" NA "T" "C" "999" "PASS"
## [2,] "Contig_101" "122" NA "T" "G" "999" "PASS"
## [3,] "Contig_176" "44" NA "T" "C" "999" "PASS"
## [4,] "Contig_222" "14" NA "T" "C" "999" "PASS"
## [5,] "Contig_335" "78" NA "G" "A" "999" "PASS"
## [6,] "Contig_388" "48" NA "A" "G" "478" "PASS"
## [1]
## [1] "***** Genotype section *****"
## FORMAT
## [1,] "GT:PL:DP:AD:GQ"
## [2,] "GT:PL:DP:AD:GQ"
## [3,] "GT:PL:DP:AD:GQ"
## [4,] "GT:PL:DP:AD:GQ"
## [5,] "GT:PL:DP:AD:GQ"
## [6,] "GT:PL:DP:AD:GQ"
## /project/wildgen/bmendels/GG_combine/rep_comb/low_ind_removed/more_removed/bwa/bam/aln_01_92_gg_001.sorted.bam
## [1,] "1/1:141,42,0:27:1,26:43"
## [2,] "0/1:82,0,30:5:2,3:32"
## [3,] "1/1:84,12,0:4:0,4:14"
## [4,] "./.:0,6,42:2:2,0:7"
## [5,] "1/1:156,51,0:17:0,17:58"
## [6,] "0/0:0,33,178:11:11,0:42"
## /project/wildgen/bmendels/GG_combine/rep_comb/low_ind_removed/more_removed/bwa/bam/aln_01_92_gg_004.sorted.bam
## [1,] "0/1:118,0,70:100:21,79:68"
## [2,] "0/1:130,0,189:97:58,39:99"
## [3,] "1/1:30,82,0:100:8,92:40"
## [4,] "0/1:12,0,146:100:72,28:11"
## [5,] "1/1:104,103,0:100:7,92:99"
## [6,] "0/0:0,255,248:99:99,0:99"
## /project/wildgen/bmendels/GG_combine/rep_comb/low_ind_removed/more_removed/bwa/bam/aln_01_92_gg_005.sorted.bam
## [1,] "0/1:174,0,155:100:38,62:99"
## [2,] "0/1:139,0,186:98:48,49:99"
## [3,] "1/1:40,60,0:100:9,91:50"
## [4,] "./.:0,2,126:99:75,24:4"
## [5,] "1/1:155,222,0:99:2,94:99"
## [6,] "0/0:0,255,247:100:100,0:99"
## /project/wildgen/bmendels/GG_combine/rep_comb/low_ind_removed/more_removed/bwa/bam/aln_01_92_gg_008.sorted.bam
## [1,] "0/1:96,0,21:99:16,83:19"
## [2,] "0/1:119,0,190:99:59,40:99"
## [3,] "0/1:36,0,56:79:14,65:43"
## [4,] "./.:1,0,119:100:75,25:3"
## [5,] "1/1:119,131,0:99:6,89:99"
## [6,] "0/0:0,255,246:99:99,0:99"
## /project/wildgen/bmendels/GG_combine/rep_comb/low_ind_removed/more_removed/bwa/bam/aln_01_92_gg_009.sorted.bam
## [1,] "0/1:145,0,111:101:28,73:99"
## [2,] "0/1:153,0,184:81:42,39:99"
## [3,] "0/1:102,0,111:21:11,10:99"
## [4,] "0/1:30,0,157:99:70,29:29"
## [5,] "1/1:57,18,0:99:12,86:25"
## [6,] "0/0:0,255,255:100:100,0:99"
## [1] "First 6 columns only."
## [1]
## [1] "Unique GT formats:"
## [1] "GT:PL:DP:AD:GQ"
## [1]queryMETA(vcf.owl) #summersising meta usefull for comprehension of the file’s contents.## [1] "FILTER=ID=PASS"
## [2] "ALT=ID=*"
## [3] "INFO=ID=INDEL"
## [4] "INFO=ID=IDV"
## [5] "INFO=ID=IMF"
## [6] "INFO=ID=DP"
## [7] "INFO=ID=VDB"
## [8] "INFO=ID=RPB"
## [9] "INFO=ID=MQB"
## [10] "INFO=ID=BQB"
## [11] "INFO=ID=MQSB"
## [12] "INFO=ID=SGB"
## [13] "INFO=ID=MQ0F"
## [14] "FORMAT=ID=PL"
## [15] "FORMAT=ID=DP"
## [16] "FORMAT=ID=AD"
## [17] "FORMAT=ID=GT"
## [18] "FORMAT=ID=GQ"
## [19] "INFO=ID=ICB"
## [20] "INFO=ID=HOB"
## [21] "INFO=ID=AC"
## [22] "INFO=ID=AN"
## [23] "INFO=ID=DP4"
## [24] "INFO=ID=MQ"
## [25] "1099773 contig=<IDs omitted from queryMETA"pop.data <- read.table("owl_pop.txt", header = TRUE) #read in coordinate data
all(colnames(vcf.owl@gt)[-1] == pop.data$State) #check that all the samples in the VCF and the population data frame are included## [1] TRUEConvert to genlight for Population genetic analyses for GBS data
#convert to genlight
gl.owl <- vcfR2genlight(vcf.owl)
ploidy(gl.owl) <- 2 #specify the ploidy of the organism
pop(gl.owl) <- pop.data$population #specify the population
gl.owl # genlight object## /// GENLIGHT OBJECT /////////
##
## // 123 genotypes, 4,817 binary SNPs, size: 1.5 Mb
## 96379 (16.27 %) missing data
##
## // Basic content
## @gen: list of 123 SNPbin
## @ploidy: ploidy of each individual (range: 2-2)
##
## // Optional content
## @ind.names: 123 individual labels
## @loc.names: 4817 locus labels
## @chromosome: factor storing chromosomes of the SNPs
## @position: integer storing positions of the SNPs
## @pop: population of each individual (group size range: 8-73)
## @other: a list containing: elements without namesDistance tree analysis
library(RColorBrewer)
#Tree analysis
owl.dist <- poppr::bitwise.dist(gl.owl, missing_match = TRUE, scale_missing = TRUE) #distance matrix
tree <- aboot(gl.owl, tree = "upgma", distance = bitwise.dist, sample = 100, showtree = F, cutoff = 50, quiet = T)
cols <- brewer.pal(n = nPop(gl.owl), name = "Set3")
plot.phylo(tree, cex = 0.8, font = 2, adj = 0, tip.color =
cols[pop(gl.owl)])
nodelabels(tree$node.label, adj = c(1.3, -0.5), frame = "n", cex = 0.8,font =
3, xpd = TRUE)
legend('topleft', legend = c("CA","WY","ID", "ORN", "ORS"), fill = cols, border = FALSE,
bty = "n", cex = 2)
axis(side = 1)
title(xlab = "Genetic distance (proportion of loci that are different)")
PCA
Choosing to look at PC 1, 2, and 3 becuse the eignvalue drops off after 3, although there is a high difference between PC 1 and the rest.
WY and ID group together on all axies (consistant with paper) even though the paper removed potentialy related individuals from analysis.
library(RColorBrewer)
owl.pca <- glPca(gl.owl, nf = 3)
barplot(100*owl.pca$eig/sum(owl.pca$eig), col = heat.colors(50), main="PCA Eigenvalues")
title(ylab="Percent of variance\nexplained", line = 2)
title(xlab="Eigenvalues", line = 1)
owl.pca.scores <- as.data.frame(owl.pca$scores)
owl.pca.scores$pop <- pop(gl.owl) #add the population values as a new column
cols <- brewer.pal(n = nPop(gl.owl), name = "Set3")
library(ggplot2)
set.seed(9)
p1v2 <- ggplot(owl.pca.scores, aes(x=PC1, y=PC2, colour=pop)) +
geom_point(size=2) +
stat_ellipse(level = 0.95, size = 1) +
scale_color_manual(values = cols) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
theme_bw()
p1v2
p1v3 <- ggplot(owl.pca.scores, aes(x=PC1, y=PC3, colour=pop)) +
geom_point(size=2) +
stat_ellipse(level = 0.95, size = 1) +
scale_color_manual(values = cols) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
theme_bw()
p1v3
p2v3 <- ggplot(owl.pca.scores, aes(x=PC2, y=PC3, colour=pop)) +
geom_point(size=2) +
stat_ellipse(level = 0.95, size = 1) +
scale_color_manual(values = cols) +
geom_hline(yintercept = 0) +
geom_vline(xintercept = 0) +
theme_bw()
p2v3## Warning in MASS::cov.trob(data[, vars]): Probable convergence failure
Choosing K for admixture analysis and lfmm
"best" k from the AIC appears to be 4 (same as paper) using the elbow method
##choose 'k'
gen.owl <- vcfR2genind(vcf.owl, sep = "[|/]", return.alleles = TRUE) #convert vcf to genind for AIC
#AIC
owl.aic <- snapclust.choose.k(max = 10, gen.owl)
plot(1:10, owl.aic, xlab = "Number of clusters (k)",
ylab = "AIC", type = "b", pch = 20, cex = 3)
Convert to LFMM
library(LEA)
owl.lfmm <- vcf2lfmm("/Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/variants_4817snps_123inds.vcf", output.file = "/Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/variants_4817snps_123inds.lfmm", force = TRUE)##
## - number of detected individuals: 123
## - number of detected loci: 4817
##
## For SNP info, please check /Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/variants_4817snps_123inds.vcfsnp.
##
## 4 line(s) were removed because these are not SNPs.
## Please, check /Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/variants_4817snps_123inds.removed file, for more informations.
##
##
## - number of detected individuals: 123
## - number of detected loci: 4817owl.lfmm <- read.lfmm("variants_4817snps_123inds.lfmm")Non-spacial admixture analysis
Elbow of k value graph is at k=3 the package help page says that the "best" k is the next to the right of the elbow so k=4 in this case
library(LEA)
library(maps)
write.geno(owl.lfmm, "/Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/owl.geno") #convert lfmm to geno file## [1] "/Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/owl.geno"owl.geno <- read.geno("owl.geno") #read geno file into r sesion
impute("owl.snmfProject", "owl.lfmm", method = "random", K = 4, run = best) #remove NA values ## NULLproject = snmf("/Users/carolynvandervelde/Desktop/UoM/Pop_gen/Final_project_owl/owl.geno",
K = 1:10, entropy = TRUE, repetitions = 10, project = "new")## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 475885376
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 475885376
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run1/owl_r1.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run1/owl_r1.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230151.969215
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run1/owl_r1.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run1/owl_r1.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run1/owl_r1.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run1/owl_r1.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.6412
## Cross-Entropy (masked data): 0.665297
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run1/owl_r1.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run1/owl_r1.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587640385344
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==============]
## Number of iterations: 37
##
## Least-square error: 213685.153255
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run1/owl_r1.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run1/owl_r1.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run1/owl_r1.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run1/owl_r1.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572538
## Cross-Entropy (masked data): 0.611078
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run1/owl_r1.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run1/owl_r1.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================]
## Number of iterations: 50
##
## Least-square error: 208713.326409
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run1/owl_r1.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run1/owl_r1.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run1/owl_r1.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run1/owl_r1.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552272
## Cross-Entropy (masked data): 0.60538
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run1/owl_r1.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run1/owl_r1.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============]
## Number of iterations: 40
##
## Least-square error: 205681.890260
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run1/owl_r1.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run1/owl_r1.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run1/owl_r1.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run1/owl_r1.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.543541
## Cross-Entropy (masked data): 0.607517
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run1/owl_r1.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run1/owl_r1.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [================================================]
## Number of iterations: 127
##
## Least-square error: 202271.003647
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run1/owl_r1.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run1/owl_r1.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run1/owl_r1.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run1/owl_r1.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.53175
## Cross-Entropy (masked data): 0.606289
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run1/owl_r1.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run1/owl_r1.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [============]
## Number of iterations: 33
##
## Least-square error: 199276.518844
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run1/owl_r1.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run1/owl_r1.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run1/owl_r1.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run1/owl_r1.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.523264
## Cross-Entropy (masked data): 0.604391
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run1/owl_r1.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run1/owl_r1.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============================================]
## Number of iterations: 120
##
## Least-square error: 197143.701605
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run1/owl_r1.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run1/owl_r1.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run1/owl_r1.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run1/owl_r1.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.516789
## Cross-Entropy (masked data): 0.611421
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run1/owl_r1.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run1/owl_r1.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140583345418048
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [======================]
## Number of iterations: 58
##
## Least-square error: 193914.116051
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run1/owl_r1.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run1/owl_r1.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run1/owl_r1.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run1/owl_r1.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.506433
## Cross-Entropy (masked data): 0.607561
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run1/owl_r1.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run1/owl_r1.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607182419275902784
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================]
## Number of iterations: 46
##
## Least-square error: 191809.141360
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run1/owl_r1.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run1/owl_r1.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run1/owl_r1.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run1/owl_r1.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.498698
## Cross-Entropy (masked data): 0.612606
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 1 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run1/owl_r1.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run1/owl_r1.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489035067200
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============================]
## Number of iterations: 82
##
## Least-square error: 189896.446022
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run1/owl_r1.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run1/owl_r1.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run1/owl_r1.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run1/owl_r1.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.493746
## Cross-Entropy (masked data): 0.620064
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 1188650774
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 1188650774
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run2/owl_r2.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run2/owl_r2.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588353150742
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230229.416342
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run2/owl_r2.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run2/owl_r2.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run2/owl_r2.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run2/owl_r2.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.641097
## Cross-Entropy (masked data): 0.664622
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run2/owl_r2.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run2/owl_r2.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 5483618070
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============]
## Number of iterations: 35
##
## Least-square error: 213763.688074
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run2/owl_r2.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run2/owl_r2.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run2/owl_r2.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run2/owl_r2.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572111
## Cross-Entropy (masked data): 0.611733
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run2/owl_r2.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run2/owl_r2.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489747832598
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============]
## Number of iterations: 40
##
## Least-square error: 208269.981946
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run2/owl_r2.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run2/owl_r2.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run2/owl_r2.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run2/owl_r2.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.55199
## Cross-Entropy (masked data): 0.606909
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run2/owl_r2.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run2/owl_r2.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489747832598
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=====================]
## Number of iterations: 56
##
## Least-square error: 204959.319902
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run2/owl_r2.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run2/owl_r2.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run2/owl_r2.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run2/owl_r2.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.53945
## Cross-Entropy (masked data): 0.611616
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run2/owl_r2.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run2/owl_r2.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489747832598
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================]
## Number of iterations: 52
##
## Least-square error: 201657.380433
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run2/owl_r2.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run2/owl_r2.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run2/owl_r2.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run2/owl_r2.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.531621
## Cross-Entropy (masked data): 0.613496
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run2/owl_r2.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run2/owl_r2.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489747832598
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [================================================]
## Number of iterations: 127
##
## Least-square error: 199024.213290
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run2/owl_r2.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run2/owl_r2.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run2/owl_r2.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run2/owl_r2.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.521653
## Cross-Entropy (masked data): 0.613417
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run2/owl_r2.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run2/owl_r2.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588353150742
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==========================================]
## Number of iterations: 113
##
## Least-square error: 196731.058139
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run2/owl_r2.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run2/owl_r2.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run2/owl_r2.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run2/owl_r2.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.514784
## Cross-Entropy (masked data): 0.62072
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run2/owl_r2.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run2/owl_r2.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489747832598
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============================================]
## Number of iterations: 125
##
## Least-square error: 193716.730031
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run2/owl_r2.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run2/owl_r2.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run2/owl_r2.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run2/owl_r2.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.505726
## Cross-Entropy (masked data): 0.622369
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run2/owl_r2.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run2/owl_r2.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489747832598
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================================]
## Number of iterations: 89
##
## Least-square error: 191009.312743
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run2/owl_r2.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run2/owl_r2.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run2/owl_r2.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run2/owl_r2.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.497689
## Cross-Entropy (masked data): 0.625343
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 2 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run2/owl_r2.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run2/owl_r2.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 18446744070603235094
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==================================================]
## Number of iterations: 134
##
## Least-square error: 189293.088046
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run2/owl_r2.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run2/owl_r2.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run2/owl_r2.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run2/owl_r2.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.492329
## Cross-Entropy (masked data): 0.630766
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 1339624272
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 1339624272
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run3/owl_r3.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run3/owl_r3.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588504124240
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230492.684653
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run3/owl_r3.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run3/owl_r3.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run3/owl_r3.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run3/owl_r3.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.641205
## Cross-Entropy (masked data): 0.663883
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run3/owl_r3.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run3/owl_r3.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489898806096
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============]
## Number of iterations: 35
##
## Least-square error: 213324.148147
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run3/owl_r3.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run3/owl_r3.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run3/owl_r3.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run3/owl_r3.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572427
## Cross-Entropy (masked data): 0.607803
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run3/owl_r3.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run3/owl_r3.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489898806096
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [====================]
## Number of iterations: 54
##
## Least-square error: 208503.914507
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run3/owl_r3.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run3/owl_r3.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run3/owl_r3.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run3/owl_r3.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552452
## Cross-Entropy (masked data): 0.60399
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run3/owl_r3.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run3/owl_r3.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 13879829525859732304
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============]
## Number of iterations: 36
##
## Least-square error: 205782.597398
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run3/owl_r3.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run3/owl_r3.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run3/owl_r3.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run3/owl_r3.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.544806
## Cross-Entropy (masked data): 0.602849
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run3/owl_r3.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run3/owl_r3.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 5634591568
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================]
## Number of iterations: 157
##
## Least-square error: 202398.021705
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run3/owl_r3.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run3/owl_r3.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run3/owl_r3.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run3/owl_r3.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.534659
## Cross-Entropy (masked data): 0.604443
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run3/owl_r3.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run3/owl_r3.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588504124240
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=====================]
## Number of iterations: 57
##
## Least-square error: 199329.732718
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run3/owl_r3.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run3/owl_r3.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run3/owl_r3.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run3/owl_r3.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.523185
## Cross-Entropy (masked data): 0.605128
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run3/owl_r3.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run3/owl_r3.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588504124240
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [====================================]
## Number of iterations: 97
##
## Least-square error: 196211.543863
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run3/owl_r3.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run3/owl_r3.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run3/owl_r3.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run3/owl_r3.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.512639
## Cross-Entropy (masked data): 0.608129
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run3/owl_r3.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run3/owl_r3.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489898806096
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [========================================]
## Number of iterations: 108
##
## Least-square error: 194346.495792
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run3/owl_r3.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run3/owl_r3.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run3/owl_r3.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run3/owl_r3.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.506323
## Cross-Entropy (masked data): 0.613929
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run3/owl_r3.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run3/owl_r3.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 5634591568
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============================================================]
## Number of iterations: 163
##
## Least-square error: 192330.064713
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run3/owl_r3.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run3/owl_r3.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run3/owl_r3.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run3/owl_r3.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.500026
## Cross-Entropy (masked data): 0.629717
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 3 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run3/owl_r3.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run3/owl_r3.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 44289297232
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [========================================]
## Number of iterations: 106
##
## Least-square error: 189812.517249
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run3/owl_r3.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run3/owl_r3.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run3/owl_r3.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run3/owl_r3.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.493868
## Cross-Entropy (masked data): 0.629409
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 566165513
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 566165513
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run4/owl_r4.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run4/owl_r4.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489125347337
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230213.887898
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run4/owl_r4.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run4/owl_r4.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run4/owl_r4.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run4/owl_r4.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.641327
## Cross-Entropy (masked data): 0.661271
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run4/owl_r4.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run4/owl_r4.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489125347337
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [============]
## Number of iterations: 32
##
## Least-square error: 213461.803291
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run4/owl_r4.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run4/owl_r4.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run4/owl_r4.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run4/owl_r4.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572454
## Cross-Entropy (masked data): 0.605379
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run4/owl_r4.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run4/owl_r4.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489125347337
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============]
## Number of iterations: 39
##
## Least-square error: 208451.150446
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run4/owl_r4.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run4/owl_r4.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run4/owl_r4.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run4/owl_r4.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552384
## Cross-Entropy (masked data): 0.601235
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run4/owl_r4.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run4/owl_r4.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587730665481
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==========]
## Number of iterations: 27
##
## Least-square error: 205929.460325
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run4/owl_r4.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run4/owl_r4.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run4/owl_r4.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run4/owl_r4.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.544817
## Cross-Entropy (masked data): 0.602195
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run4/owl_r4.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run4/owl_r4.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489125347337
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [====================================================]
## Number of iterations: 139
##
## Least-square error: 202010.700403
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run4/owl_r4.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run4/owl_r4.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run4/owl_r4.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run4/owl_r4.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.531214
## Cross-Entropy (masked data): 0.607365
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run4/owl_r4.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run4/owl_r4.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 18446744069980749833
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [========================================================================]
## Number of iterations: 192
##
## Least-square error: 199282.720530
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run4/owl_r4.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run4/owl_r4.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run4/owl_r4.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run4/owl_r4.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.522396
## Cross-Entropy (masked data): 0.608303
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run4/owl_r4.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run4/owl_r4.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587730665481
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [================]
## Number of iterations: 43
##
## Least-square error: 197093.266558
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run4/owl_r4.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run4/owl_r4.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run4/owl_r4.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run4/owl_r4.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.516135
## Cross-Entropy (masked data): 0.613742
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run4/owl_r4.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run4/owl_r4.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 566165513
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=======================================]
## Number of iterations: 104
##
## Least-square error: 194168.369851
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run4/owl_r4.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run4/owl_r4.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run4/owl_r4.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run4/owl_r4.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.506348
## Cross-Entropy (masked data): 0.613653
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run4/owl_r4.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run4/owl_r4.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489125347337
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [========================================================================]
## Number of iterations: 191
##
## Least-square error: 191683.193098
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run4/owl_r4.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run4/owl_r4.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run4/owl_r4.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run4/owl_r4.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.498763
## Cross-Entropy (masked data): 0.615853
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 4 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run4/owl_r4.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run4/owl_r4.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587730665481
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============================]
## Number of iterations: 84
##
## Least-square error: 189294.037961
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run4/owl_r4.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run4/owl_r4.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run4/owl_r4.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run4/owl_r4.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.493688
## Cross-Entropy (masked data): 0.623896
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 1217046256
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 1217046256
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run5/owl_r5.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run5/owl_r5.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489776228080
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230189.188705
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run5/owl_r5.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run5/owl_r5.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run5/owl_r5.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run5/owl_r5.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.641474
## Cross-Entropy (masked data): 0.657184
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run5/owl_r5.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run5/owl_r5.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489776228080
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==============]
## Number of iterations: 37
##
## Least-square error: 213647.621798
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run5/owl_r5.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run5/owl_r5.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run5/owl_r5.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run5/owl_r5.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572478
## Cross-Entropy (masked data): 0.602838
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run5/owl_r5.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run5/owl_r5.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489776228080
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================]
## Number of iterations: 52
##
## Least-square error: 208407.763091
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run5/owl_r5.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run5/owl_r5.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run5/owl_r5.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run5/owl_r5.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552547
## Cross-Entropy (masked data): 0.595928
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run5/owl_r5.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run5/owl_r5.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489776228080
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================================]
## Number of iterations: 200
##
## Least-square error: 205681.335156
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run5/owl_r5.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run5/owl_r5.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run5/owl_r5.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run5/owl_r5.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.544166
## Cross-Entropy (masked data): 0.596594
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run5/owl_r5.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run5/owl_r5.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 18446744070631630576
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==========================================]
## Number of iterations: 112
##
## Least-square error: 202194.001433
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run5/owl_r5.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run5/owl_r5.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run5/owl_r5.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run5/owl_r5.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.531475
## Cross-Entropy (masked data): 0.604246
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run5/owl_r5.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run5/owl_r5.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489776228080
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [======================]
## Number of iterations: 60
##
## Least-square error: 198894.966700
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run5/owl_r5.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run5/owl_r5.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run5/owl_r5.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run5/owl_r5.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.522982
## Cross-Entropy (masked data): 0.60254
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run5/owl_r5.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run5/owl_r5.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 5512013552
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================================]
## Number of iterations: 200
##
## Least-square error: 197137.412600
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run5/owl_r5.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run5/owl_r5.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run5/owl_r5.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run5/owl_r5.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.516052
## Cross-Entropy (masked data): 0.612531
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run5/owl_r5.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run5/owl_r5.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 5512013552
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [================================================================]
## Number of iterations: 170
##
## Least-square error: 193924.220131
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run5/owl_r5.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run5/owl_r5.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run5/owl_r5.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run5/owl_r5.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.506581
## Cross-Entropy (masked data): 0.602971
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run5/owl_r5.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run5/owl_r5.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489776228080
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============================]
## Number of iterations: 83
##
## Least-square error: 191910.354087
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run5/owl_r5.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run5/owl_r5.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run5/owl_r5.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run5/owl_r5.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.49877
## Cross-Entropy (masked data): 0.615834
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 5 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run5/owl_r5.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run5/owl_r5.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588381546224
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================================]
## Number of iterations: 200
##
## Least-square error: 189824.461140
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run5/owl_r5.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run5/owl_r5.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run5/owl_r5.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run5/owl_r5.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.49319
## Cross-Entropy (masked data): 0.625373
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 953200503
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 953200503
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run6/owl_r6.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run6/owl_r6.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489512382327
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230405.578966
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run6/owl_r6.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run6/owl_r6.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run6/owl_r6.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run6/owl_r6.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.641334
## Cross-Entropy (masked data): 0.662489
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run6/owl_r6.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run6/owl_r6.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 43902873463
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==============]
## Number of iterations: 37
##
## Least-square error: 213530.656762
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run6/owl_r6.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run6/owl_r6.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run6/owl_r6.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run6/owl_r6.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572555
## Cross-Entropy (masked data): 0.608929
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run6/owl_r6.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run6/owl_r6.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489512382327
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==============]
## Number of iterations: 37
##
## Least-square error: 208610.632804
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run6/owl_r6.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run6/owl_r6.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run6/owl_r6.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run6/owl_r6.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552539
## Cross-Entropy (masked data): 0.599485
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run6/owl_r6.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run6/owl_r6.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489512382327
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=========================================================]
## Number of iterations: 153
##
## Least-square error: 205736.439085
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run6/owl_r6.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run6/owl_r6.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run6/owl_r6.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run6/owl_r6.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.543855
## Cross-Entropy (masked data): 0.599974
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run6/owl_r6.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run6/owl_r6.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607272489512382327
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================]
## Number of iterations: 52
##
## Least-square error: 202021.151363
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run6/owl_r6.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run6/owl_r6.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run6/owl_r6.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run6/owl_r6.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.531627
## Cross-Entropy (masked data): 0.604476
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run6/owl_r6.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run6/owl_r6.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 5248167799
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=========================]
## Number of iterations: 67
##
## Least-square error: 199344.220471
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run6/owl_r6.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run6/owl_r6.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run6/owl_r6.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run6/owl_r6.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.522444
## Cross-Entropy (masked data): 0.605342
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run6/owl_r6.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run6/owl_r6.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607182419753217911
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=====================================]
## Number of iterations: 100
##
## Least-square error: 196338.542262
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run6/owl_r6.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run6/owl_r6.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run6/owl_r6.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run6/owl_r6.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.512693
## Cross-Entropy (masked data): 0.605869
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run6/owl_r6.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run6/owl_r6.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140583822733175
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [======================]
## Number of iterations: 60
##
## Least-square error: 194081.937713
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run6/owl_r6.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run6/owl_r6.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run6/owl_r6.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run6/owl_r6.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.506105
## Cross-Entropy (masked data): 0.611084
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run6/owl_r6.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run6/owl_r6.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607182419753217911
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [========================================]
## Number of iterations: 108
##
## Least-square error: 191511.036447
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run6/owl_r6.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run6/owl_r6.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run6/owl_r6.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run6/owl_r6.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.498156
## Cross-Entropy (masked data): 0.616836
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 6 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run6/owl_r6.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run6/owl_r6.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588117700471
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================================]
## Number of iterations: 200
##
## Least-square error: 189576.519588
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run6/owl_r6.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run6/owl_r6.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run6/owl_r6.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run6/owl_r6.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.493219
## Cross-Entropy (masked data): 0.627248
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 646718419
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 646718419
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run7/owl_r7.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run7/owl_r7.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587811218387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230280.912281
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run7/owl_r7.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run7/owl_r7.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run7/owl_r7.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run7/owl_r7.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.641072
## Cross-Entropy (masked data): 0.665117
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run7/owl_r7.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run7/owl_r7.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4941685715
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============]
## Number of iterations: 35
##
## Least-square error: 213421.610220
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run7/owl_r7.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run7/owl_r7.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run7/owl_r7.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run7/owl_r7.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.57249
## Cross-Entropy (masked data): 0.6066
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run7/owl_r7.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run7/owl_r7.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4941685715
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==================]
## Number of iterations: 47
##
## Least-square error: 208710.573275
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run7/owl_r7.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run7/owl_r7.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run7/owl_r7.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run7/owl_r7.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552445
## Cross-Entropy (masked data): 0.600141
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run7/owl_r7.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run7/owl_r7.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587811218387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================================================================]
## Number of iterations: 173
##
## Least-square error: 205440.520214
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run7/owl_r7.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run7/owl_r7.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run7/owl_r7.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run7/owl_r7.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.543889
## Cross-Entropy (masked data): 0.603044
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run7/owl_r7.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run7/owl_r7.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587811218387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==============================================]
## Number of iterations: 124
##
## Least-square error: 202051.579508
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run7/owl_r7.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run7/owl_r7.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run7/owl_r7.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run7/owl_r7.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.530916
## Cross-Entropy (masked data): 0.604738
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run7/owl_r7.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run7/owl_r7.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 646718419
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================================================]
## Number of iterations: 131
##
## Least-square error: 198831.343316
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run7/owl_r7.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run7/owl_r7.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run7/owl_r7.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run7/owl_r7.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.52203
## Cross-Entropy (masked data): 0.60119
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run7/owl_r7.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run7/owl_r7.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 43596391379
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==================================================================]
## Number of iterations: 176
##
## Least-square error: 197184.056326
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run7/owl_r7.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run7/owl_r7.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run7/owl_r7.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run7/owl_r7.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.515567
## Cross-Entropy (masked data): 0.617675
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run7/owl_r7.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run7/owl_r7.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587811218387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=========================================]
## Number of iterations: 109
##
## Least-square error: 194030.700064
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run7/owl_r7.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run7/owl_r7.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run7/owl_r7.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run7/owl_r7.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.505835
## Cross-Entropy (masked data): 0.606605
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run7/owl_r7.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run7/owl_r7.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587811218387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================================================================]
## Number of iterations: 180
##
## Least-square error: 192208.605871
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run7/owl_r7.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run7/owl_r7.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run7/owl_r7.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run7/owl_r7.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.500704
## Cross-Entropy (masked data): 0.622246
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 7 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run7/owl_r7.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run7/owl_r7.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140587811218387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================================================================]
## Number of iterations: 178
##
## Least-square error: 189107.151012
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run7/owl_r7.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run7/owl_r7.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run7/owl_r7.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run7/owl_r7.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.491067
## Cross-Entropy (masked data): 0.624577
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 1908651795
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 1908651795
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run8/owl_r8.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run8/owl_r8.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589073151763
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230212.538303
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run8/owl_r8.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run8/owl_r8.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run8/owl_r8.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run8/owl_r8.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.640937
## Cross-Entropy (masked data): 0.668034
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run8/owl_r8.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run8/owl_r8.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589073151763
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==============]
## Number of iterations: 37
##
## Least-square error: 213443.208470
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run8/owl_r8.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run8/owl_r8.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run8/owl_r8.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run8/owl_r8.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572301
## Cross-Entropy (masked data): 0.61264
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run8/owl_r8.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run8/owl_r8.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140584778184467
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==================]
## Number of iterations: 48
##
## Least-square error: 208540.048107
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run8/owl_r8.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run8/owl_r8.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run8/owl_r8.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run8/owl_r8.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552038
## Cross-Entropy (masked data): 0.608507
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run8/owl_r8.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run8/owl_r8.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589073151763
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [======================]
## Number of iterations: 58
##
## Least-square error: 205027.431019
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run8/owl_r8.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run8/owl_r8.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run8/owl_r8.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run8/owl_r8.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.539575
## Cross-Entropy (masked data): 0.611272
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run8/owl_r8.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run8/owl_r8.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589073151763
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================================]
## Number of iterations: 200
##
## Least-square error: 201941.742196
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run8/owl_r8.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run8/owl_r8.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run8/owl_r8.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run8/owl_r8.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.530841
## Cross-Entropy (masked data): 0.611823
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run8/owl_r8.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run8/owl_r8.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 749232961299
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=======================================]
## Number of iterations: 103
##
## Least-square error: 199705.704089
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run8/owl_r8.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run8/owl_r8.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run8/owl_r8.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run8/owl_r8.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.524965
## Cross-Entropy (masked data): 0.612544
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run8/owl_r8.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run8/owl_r8.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589073151763
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==========]
## Number of iterations: 26
##
## Least-square error: 196055.346403
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run8/owl_r8.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run8/owl_r8.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run8/owl_r8.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run8/owl_r8.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.512977
## Cross-Entropy (masked data): 0.60831
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run8/owl_r8.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run8/owl_r8.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 1908651795
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==================]
## Number of iterations: 48
##
## Least-square error: 194257.362706
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run8/owl_r8.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run8/owl_r8.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run8/owl_r8.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run8/owl_r8.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.507055
## Cross-Entropy (masked data): 0.625982
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run8/owl_r8.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run8/owl_r8.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 10498586387
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [================================================================]
## Number of iterations: 171
##
## Least-square error: 192278.122219
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run8/owl_r8.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run8/owl_r8.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run8/owl_r8.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run8/owl_r8.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.499519
## Cross-Entropy (masked data): 0.634413
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 8 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run8/owl_r8.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run8/owl_r8.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589073151763
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [========================================================]
## Number of iterations: 149
##
## Least-square error: 189630.819867
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run8/owl_r8.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run8/owl_r8.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run8/owl_r8.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run8/owl_r8.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.492452
## Cross-Entropy (masked data): 0.632551
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 1914336695
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 1914336695
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run9/owl_r9.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run9/owl_r9.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 6209303991
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230458.668377
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run9/owl_r9.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run9/owl_r9.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run9/owl_r9.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run9/owl_r9.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.640767
## Cross-Entropy (masked data): 0.670635
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run9/owl_r9.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run9/owl_r9.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589078836663
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============]
## Number of iterations: 34
##
## Least-square error: 213149.644198
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run9/owl_r9.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run9/owl_r9.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run9/owl_r9.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run9/owl_r9.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.571898
## Cross-Entropy (masked data): 0.615622
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run9/owl_r9.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run9/owl_r9.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589078836663
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==================]
## Number of iterations: 47
##
## Least-square error: 208475.049267
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run9/owl_r9.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run9/owl_r9.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run9/owl_r9.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run9/owl_r9.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.551798
## Cross-Entropy (masked data): 0.609433
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run9/owl_r9.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run9/owl_r9.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589078836663
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================]
## Number of iterations: 51
##
## Least-square error: 204817.026330
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run9/owl_r9.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run9/owl_r9.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run9/owl_r9.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run9/owl_r9.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.53934
## Cross-Entropy (masked data): 0.613257
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run9/owl_r9.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run9/owl_r9.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4621819119503308215
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============================================================]
## Number of iterations: 162
##
## Least-square error: 201689.892372
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run9/owl_r9.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run9/owl_r9.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run9/owl_r9.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run9/owl_r9.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.530281
## Cross-Entropy (masked data): 0.615249
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run9/owl_r9.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run9/owl_r9.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 13879036344759121335
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================]
## Number of iterations: 45
##
## Least-square error: 199397.105013
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run9/owl_r9.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run9/owl_r9.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run9/owl_r9.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run9/owl_r9.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.522989
## Cross-Entropy (masked data): 0.612039
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run9/owl_r9.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run9/owl_r9.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589078836663
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [====================================]
## Number of iterations: 97
##
## Least-square error: 196338.400935
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run9/owl_r9.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run9/owl_r9.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run9/owl_r9.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run9/owl_r9.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.512147
## Cross-Entropy (masked data): 0.616992
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run9/owl_r9.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run9/owl_r9.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589078836663
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================]
## Number of iterations: 45
##
## Least-square error: 193874.811136
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run9/owl_r9.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run9/owl_r9.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run9/owl_r9.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run9/owl_r9.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.504901
## Cross-Entropy (masked data): 0.618986
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run9/owl_r9.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run9/owl_r9.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4621819119503308215
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [==========================================]
## Number of iterations: 112
##
## Least-square error: 192235.271894
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run9/owl_r9.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run9/owl_r9.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run9/owl_r9.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run9/owl_r9.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.499156
## Cross-Entropy (masked data): 0.630998
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 9 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run9/owl_r9.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run9/owl_r9.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140589078836663
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===========================================================================]
## Number of iterations: 200
##
## Least-square error: 189150.986669
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run9/owl_r9.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run9/owl_r9.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run9/owl_r9.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run9/owl_r9.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.492484
## Cross-Entropy (masked data): 0.633716
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] 892083160
## [1] "*************************************"
## [1] "* create.dataset *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -s (seed random init) 892083160
## -r (percentage of masked data) 0.05
## -x (genotype file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -o (output file in .geno format) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
##
## Write genotype file with masked data, /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
## [1] "*************************************"
## [1] "* sNMF K = 1 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run10/owl_r10.1.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run10/owl_r10.1.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140583761615832
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
##
## Least-square error: 230254.798485
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run10/owl_r10.1.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run10/owl_r10.1.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 1
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run10/owl_r10.1.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K1/run10/owl_r10.1.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.640943
## Cross-Entropy (masked data): 0.668756
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 2 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run10/owl_r10.2.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run10/owl_r10.2.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============]
## Number of iterations: 35
##
## Least-square error: 213477.804057
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run10/owl_r10.2.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run10/owl_r10.2.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 2
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run10/owl_r10.2.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K2/run10/owl_r10.2.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.572373
## Cross-Entropy (masked data): 0.614072
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 3 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run10/owl_r10.3.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run10/owl_r10.3.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4607182419692100568
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================]
## Number of iterations: 45
##
## Least-square error: 208500.067975
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run10/owl_r10.3.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run10/owl_r10.3.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 3
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run10/owl_r10.3.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K3/run10/owl_r10.3.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.552219
## Cross-Entropy (masked data): 0.610504
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 4 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run10/owl_r10.4.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run10/owl_r10.4.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===================]
## Number of iterations: 51
##
## Least-square error: 205151.867402
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run10/owl_r10.4.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run10/owl_r10.4.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 4
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run10/owl_r10.4.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K4/run10/owl_r10.4.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.539879
## Cross-Entropy (masked data): 0.61401
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 5 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run10/owl_r10.5.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run10/owl_r10.5.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 4621819118481054680
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================]
## Number of iterations: 46
##
## Least-square error: 202619.281057
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run10/owl_r10.5.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run10/owl_r10.5.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 5
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run10/owl_r10.5.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K5/run10/owl_r10.5.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.534645
## Cross-Entropy (masked data): 0.610803
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 6 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run10/owl_r10.6.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run10/owl_r10.6.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=============================================]
## Number of iterations: 119
##
## Least-square error: 199983.811232
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run10/owl_r10.6.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run10/owl_r10.6.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 6
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run10/owl_r10.6.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K6/run10/owl_r10.6.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.526317
## Cross-Entropy (masked data): 0.623667
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 7 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run10/owl_r10.7.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run10/owl_r10.7.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [====================================================================]
## Number of iterations: 182
##
## Least-square error: 197089.147666
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run10/owl_r10.7.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run10/owl_r10.7.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 7
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run10/owl_r10.7.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K7/run10/owl_r10.7.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.515387
## Cross-Entropy (masked data): 0.622586
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 8 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run10/owl_r10.8.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run10/owl_r10.8.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [===============================================================]
## Number of iterations: 169
##
## Least-square error: 194365.584365
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run10/owl_r10.8.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run10/owl_r10.8.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 8
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run10/owl_r10.8.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K8/run10/owl_r10.8.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.507388
## Cross-Entropy (masked data): 0.621006
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 9 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run10/owl_r10.9.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run10/owl_r10.9.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=======================================================================]
## Number of iterations: 189
##
## Least-square error: 191422.275665
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run10/owl_r10.9.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run10/owl_r10.9.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 9
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run10/owl_r10.9.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K9/run10/owl_r10.9.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.498631
## Cross-Entropy (masked data): 0.625541
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")
##
## [1] "*************************************"
## [1] "* sNMF K = 10 repetition 10 *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (input file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## -q (individual admixture file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run10/owl_r10.10.Q
## -g (ancestral frequencies file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run10/owl_r10.10.G
## -i (number max of iterations) 200
## -a (regularization parameter) 10
## -s (seed random init) 140588056583128
## -e (tolerance error) 1E-05
## -p (number of processes) 1
## - diploid
##
## Read genotype file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno: OK.
##
##
## Main algorithm:
## [ ]
## [=================================================]
## Number of iterations: 130
##
## Least-square error: 189620.979594
## Write individual ancestry coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run10/owl_r10.10.Q: OK.
## Write ancestral allele frequency coefficient file /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run10/owl_r10.10.G: OK.
##
## [1] "*************************************"
## [1] "* cross-entropy estimation *"
## [1] "*************************************"
## summary of the options:
##
## -n (number of individuals) 123
## -L (number of loci) 4817
## -K (number of ancestral pops) 10
## -x (genotype file) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.geno
## -q (individual admixture) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run10/owl_r10.10.Q
## -g (ancestral frequencies) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/K10/run10/owl_r10.10.G
## -i (with masked genotypes) /Users/carolynvandervelde/Desktop/UoM/Pop_Gen/Final_project_owl/owl.snmf/masked/owl_I.geno
## - diploid
##
## Cross-Entropy (all data): 0.492639
## Cross-Entropy (masked data): 0.638989
## The project is saved into :
## owl.snmfProject
##
## To load the project, use:
## project = load.snmfProject("owl.snmfProject")
##
## To remove the project, use:
## remove.snmfProject("owl.snmfProject")plot(project, col = "blueviolet", pch = 19, cex = 1.2) #plot best K value graph using project defined with above function (4)
# plot with K=4
best = which.min(cross.entropy(project, K = 4))
bp <- barchart(project, K = 4, run = best, border = NA, space = 0, col = cols, xlab = "Individuals",
ylab = "Ancestry proportions", main = "Ancestry matrix (K = 4)")
axis(1, at = 1:length(bp$order), labels = bp$order, las = 1, cex.axis = 0.4)
# plot with K=3
best = which.min(cross.entropy(project, K = 3))
bp <- barchart(project, K = 3, run = best, border = NA, space = 0, col = cols, xlab = "Individuals",
ylab = "Ancestry proportions", main = "Ancestry matrix (K = 3)")
axis(1, at = 1:length(bp$order), labels = bp$order, las = 1, cex.axis = 0.4)
# plot with K=5
best = which.min(cross.entropy(project, K = 5))
bp <- barchart(project, K = 5, run = best, border = NA, space = 0, col = cols, xlab = "Individuals",
ylab = "Ancestry proportions", main = "Ancestry matrix (K = 5)")
axis(1, at = 1:length(bp$order), labels = bp$order, las = 1, cex.axis = 0.4)
Spatial admixture
I was suprised to see that the spacial and non spacial bar plots actualy structure quite simmilarly looking at where the individuals fall. The spacial data does sugest that that higer proportions of the genone is from the dominant population where with the non-spacial there are many more individuals with high overlap
library(tess3r)
library(maps)
library(rworldmap)
library(raster)
library(rgdal)
library(sp)
owl_just_coords <- as.matrix(read.table("owl_just_coords.txt", header = FALSE)) #two-column file ignore headers
owl.lfmm.withNA <- replace(owl.lfmm, owl.lfmm == 9, NA) #change matrix value of 9 (=missing data) to NA because tess3 wants encoded as NA
genotype = owl.lfmm.withNA #matrix format corresponds to the .lfmm format
coordinates = owl_just_coords #V1 needs to be long V2 needs to be lat for subsequent steps to work
asc.raster="http://membres-timc.imag.fr/Olivier.Francois/RasterMaps/North_America.asc" #raster file for mapping
plot(coordinates, pch = 19, cex = .5, xlab = "Longitude (°E)", ylab = "Latitude (°N)") #plot map with coordinates on it
map(add = T, interior = F)
tess3.obj <- tess3(X = genotype, coord = coordinates, K = 1:8, XProba = NULL,
method = "projected.ls", ploidy = 2, openMP.core.num = 4) #estimating ansestry co-effiencents## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: done
## == Computing spectral decomposition of graph laplacian matrix: done
## Main loop: doneplot(tess3.obj, pch = 19, col = "blue",
xlab = "Number of ancestral populations",
ylab = "Cross-validation score") # plot function generates a plot for root mean-squared errors
# retrieve tess3 Q matrix for K = 5 clusters
q.matrix5 <- qmatrix(tess3.obj, K = 5)
# STRUCTURE-like barplot for the Q-matrix5
barplot(q.matrix5, border = NA, space = 0,
xlab = "Individuals", ylab = "Ancestry proportions",
main = "Ancestry matrix (K = 5)") -> bp## Use CreatePalette() to define color palettes.axis(1, at = 1:nrow(q.matrix5), labels = bp$order, las = 3, cex.axis = .4) 
#plot Q matrix on geographic map
owl.space.plot <- plot(q.matrix5, coordinates, method = "map.max", cex = .4,
interpol = FieldsKrigModel(10),
background = TRUE,
raster.filename = asc.raster,
map.polygon = NULL,
main = "Ancestry coefficients (K=5)",
xlab = "Longitude", ylab = "Latitude",
col.palette = cols)## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
# retrieve tess3 Q matrix for K = 4 clusters
q.matrix4 <- qmatrix(tess3.obj, K = 4)
# STRUCTURE-like barplot for the Q-matrix4
barplot(q.matrix4, border = NA, space = 0,
xlab = "Individuals", ylab = "Ancestry proportions",
main = "Ancestry matrix (K = 4)") -> bp## Use CreatePalette() to define color palettes.axis(1, at = 1:nrow(q.matrix4), labels = bp$order, las = 3, cex.axis = .4) 
#plot Q matrix on geographic map
owl.space.plot <- plot(q.matrix4, coordinates, method = "map.max", cex = .4,
interpol = FieldsKrigModel(10),
background = TRUE,
raster.filename = asc.raster,
map.polygon = NULL,
main = "Ancestry coefficients (K=4)",
xlab = "Longitude", ylab = "Latitude",
col.palette = cols)## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
# retrieve tess3 Q matrix for K = 3 clusters
q.matrix3 <- qmatrix(tess3.obj, K = 3)
# STRUCTURE-like barplot for the Q-matrix3
barplot(q.matrix3, border = NA, space = 0,
xlab = "Individuals", ylab = "Ancestry proportions",
main = "Ancestry matrix (K = 3)") -> bp## Use CreatePalette() to define color palettes.axis(1, at = 1:nrow(q.matrix3), labels = bp$order, las = 3, cex.axis = .4) 
#plot Q matrix on geographic map
owl.space.plot <- plot(q.matrix3, coordinates, method = "map.max", cex = .4,
interpol = FieldsKrigModel(10),
background = TRUE,
raster.filename = asc.raster,
map.polygon = NULL,
main = "Ancestry coefficients (K=3)",
xlab = "Longitude", ylab = "Latitude",
col.palette = cols)## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
## Warning:
## Grid searches over lambda (nugget and sill variances) with minima at the endpoints:
## (REML) Restricted maximum likelihood
## minimum at right endpoint lambda = 0.003236326 (eff. df= 20.89999 )
Hum pop density map
#spacial plots
library(raster)
library(sp)
library(sf)
library(rgeos)
library(rgdal)
#'sites' is where you will put your coordinates. You should be able to add your file name
# (saved as a .csv file) and run all of this code. 'popden' will be the same for everyone
sites <- read.csv("owl.coord.csv", header = TRUE)
pop_den <- raster("SEDAC_POP_2000-01-01_gs_360x180.tiff")
## Making sites a spatial object:
# I tend to make a copy first, because once you make it spatial you can't easily manipulate the original dataframe
sites_sp <- sites
# set coordinate system
sites_sp <- sf::st_as_sf(sites, coords = c("Long", "Lat"), crs = 4326)
st_crs(sites_sp)## Coordinate Reference System:
## User input: EPSG:4326
## wkt:
## GEOGCRS["WGS 84",
## DATUM["World Geodetic System 1984",
## ELLIPSOID["WGS 84",6378137,298.257223563,
## LENGTHUNIT["metre",1]]],
## PRIMEM["Greenwich",0,
## ANGLEUNIT["degree",0.0174532925199433]],
## CS[ellipsoidal,2],
## AXIS["geodetic latitude (Lat)",north,
## ORDER[1],
## ANGLEUNIT["degree",0.0174532925199433]],
## AXIS["geodetic longitude (Lon)",east,
## ORDER[2],
## ANGLEUNIT["degree",0.0174532925199433]],
## USAGE[
## SCOPE["unknown"],
## AREA["World"],
## BBOX[-90,-180,90,180]],
## ID["EPSG",4326]]st_crs(pop_den)## Coordinate Reference System:
## User input: +proj=longlat +datum=WGS84 +no_defs
## wkt:
## GEOGCRS["unknown",
## DATUM["World Geodetic System 1984",
## ELLIPSOID["WGS 84",6378137,298.257223563,
## LENGTHUNIT["metre",1]],
## ID["EPSG",6326]],
## PRIMEM["Greenwich",0,
## ANGLEUNIT["degree",0.0174532925199433],
## ID["EPSG",8901]],
## CS[ellipsoidal,2],
## AXIS["longitude",east,
## ORDER[1],
## ANGLEUNIT["degree",0.0174532925199433,
## ID["EPSG",9122]]],
## AXIS["latitude",north,
## ORDER[2],
## ANGLEUNIT["degree",0.0174532925199433,
## ID["EPSG",9122]]]]# Here we want to reproject into an equal area projection so when we buffer points, distances are measured in meters (not decimal degrees)
AEA <- "+proj=aea +lat_1=20 +lat_2=60 +lat_0=40 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs"
sites_AEA <- st_transform(sites_sp, AEA)
## you can check to see they're transformed by looking at the coordinates
head(st_coordinates(sites_AEA))## X Y
## 1 -1623154 831690.7
## 2 -1149556 535620.4
## 3 -1162258 537693.2
## 4 -1136871 613792.4
## 5 -1158159 636448.4
## 6 -1198168 624014.6st_crs(sites_AEA)$units## [1] "m"sites_buff <- st_buffer(sites_AEA, byid = TRUE, dist = 10000)
ex <- raster::extract(pop_den, sites_buff, fun=mean, na.rm=TRUE, df=TRUE) # this is a dataframe (no longer spatial)
#this should be good to go for lfmm!!
pop_den.env <- ex[,2]Manhatan plot
## Fit and LFMM, i.e, compute B, U, V estimates
library(lfmm)
df_envs <- pop_den.env
df_geno <- read.table("variants_4817snps_123inds.lfmm")
lfmm_mod <- lfmm_ridge(Y = df_geno,
X = df_envs,
K = 4)
## Perform association testing using the fitted model:
pv <- lfmm_test(Y = owl.lfmm,
X = df_envs,
lfmm = lfmm_mod,
calibrate = "gif")
pvalues <- pv$calibrated.pvalue
qqplot(rexp(length(pvalues), rate = log(10)), -log10(pvalues), xlab = "Expected quantile",
pch = 19, cex = .4)
abline(0,1)
plot(-log10(pvalues),
pch = 19,
cex = .3,
xlab = "Probe", ylab = "-Log P",
col = "grey")
pred <- predict_lfmm(Y = df_geno,
X = df_envs,
fdr.level = 0.25,
lfmm_mod)
# Manhattan plot with the Polygenic Risk Scores are computed.
plot(-log10(pv$calibrated.pvalue),
pch = 19,
cex = .3,
xlab = "Probe", ylab = "-Log P",
col = "grey")
causal.set <- pred$candidates
points(causal.set,
-log10(pv$calibrated.pvalue)[causal.set], col = "blue")
#manhatan plot with 0.10 PRC
pred2 <- predict_lfmm(Y = df_geno, X = df_envs, fdr.level = 0.10, lfmm_mod) #Polygenic Risk Scores
plot(-log10(pv$calibrated.pvalue), pch = 19, cex = .3, xlab = "Probe", ylab = "-Log P", col = "grey")
causal.set2 <- pred2$candidates
points(causal.set2, -log10(pv$calibrated.pvalue)[causal.set2], col = "blue")
#manhatan plot with 0.01 PRC
pred3 <- predict_lfmm(Y = df_geno, X = df_envs, fdr.level = 0.01, lfmm_mod) #Polygenic Risk Scores
plot(-log10(pv$calibrated.pvalue), pch = 19, cex = .3, xlab = "Probe", ylab = "-Log P", col = "grey")
causal.set3 <- pred3$candidates
points(causal.set3, -log10(pv$calibrated.pvalue)[causal.set3], col = "blue")
Hardy Weinberg Equilibrium
#HWE
library(adegenet)
library(pegas)
gen.owl <- vcfR2genind(vcf.owl, sep = "[|/]", return.alleles = TRUE) #convert to genind
pop(gen.owl) <- pop.data$population #specify the population for genind object
#parse data into each populations
owl.pop.ORN <- gen.owl[gen.owl$pop == "ORN"]
owl.pop.ID <- gen.owl[gen.owl$pop == "ID"]
owl.pop.ORS <- gen.owl[gen.owl$pop == "ORS"]
owl.pop.CA <- gen.owl[gen.owl$pop == "CA"]
owl.pop.WY <- gen.owl[gen.owl$pop == "WY"]
#pegas package test of HWE using genind data
HWE.owl <- hw.test(gen.owl) #for all populations
summary(HWE.owl)## chi^2 df Pr(chi^2 >) Pr.exact
## Min. : 0.0000 Min. :1 Min. :0.00000 Min. :0.0000
## 1st Qu.: 0.2928 1st Qu.:1 1st Qu.:0.08257 1st Qu.:0.1090
## Median : 0.8457 Median :1 Median :0.35778 Median :0.4740
## Mean : 6.8475 Mean :1 Mean :0.37447 Mean :0.5016
## 3rd Qu.: 3.0136 3rd Qu.:1 3rd Qu.:0.58846 3rd Qu.:1.0000
## Max. :123.0000 Max. :1 Max. :1.00000 Max. :1.0000HWE.owl.pop.ORN <- hw.test(owl.pop.ORN) #for ORN population
summary(HWE.owl.pop.ORN)## chi^2 df Pr(chi^2 >) Pr.exact
## Min. :0.0000 Min. :0.0000 Min. :0.004678 Min. :0.0100
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.345779 1st Qu.:1.0000
## Median :0.1633 Median :1.0000 Median :0.686168 Median :1.0000
## Mean :0.9498 Mean :0.7197 Mean :0.629565 Mean :0.8382
## 3rd Qu.:0.8889 3rd Qu.:1.0000 3rd Qu.:1.000000 3rd Qu.:1.0000
## Max. :8.0000 Max. :1.0000 Max. :1.000000 Max. :1.0000HWE.owl.pop.ID <- hw.test(owl.pop.ID) #for ID population
summary(HWE.owl.pop.ID)## chi^2 df Pr(chi^2 >) Pr.exact
## Min. : 0.00000 Min. :0.0000 Min. :0.0009111 Min. :0.0000
## 1st Qu.: 0.02494 1st Qu.:1.0000 1st Qu.:0.3293233 1st Qu.:0.5520
## Median : 0.14062 Median :1.0000 Median :0.7076605 Median :1.0000
## Mean : 1.12043 Mean :0.8227 Mean :0.6014794 Mean :0.8091
## 3rd Qu.: 0.95156 3rd Qu.:1.0000 3rd Qu.:0.8745084 3rd Qu.:1.0000
## Max. :11.00000 Max. :1.0000 Max. :1.0000000 Max. :1.0000HWE.owl.pop.ORS <- hw.test(owl.pop.ORS) #for ORS population
summary(HWE.owl.pop.ORS)## chi^2 df Pr(chi^2 >) Pr.exact
## Min. :0.000000 Min. :0.0000 Min. :0.0027 Min. :0.0030
## 1st Qu.:0.004898 1st Qu.:1.0000 1st Qu.:0.3458 1st Qu.:1.0000
## Median :0.163265 Median :1.0000 Median :0.6862 Median :1.0000
## Mean :0.988927 Mean :0.7675 Mean :0.6159 Mean :0.8401
## 3rd Qu.:0.888889 3rd Qu.:1.0000 3rd Qu.:0.9442 3rd Qu.:1.0000
## Max. :9.000000 Max. :1.0000 Max. :1.0000 Max. :1.0000HWE.owl.pop.CA <- hw.test(owl.pop.CA) #for CA population
summary(HWE.owl.pop.CA)## chi^2 df Pr(chi^2 >) Pr.exact
## Min. : 0.0000 Min. :0.0000 Min. :0.0000027 Min. :0.0000
## 1st Qu.: 0.0119 1st Qu.:1.0000 1st Qu.:0.2635525 1st Qu.:0.5260
## Median : 0.2311 Median :1.0000 Median :0.6307345 Median :1.0000
## Mean : 1.6542 Mean :0.7835 Mean :0.5862888 Mean :0.7562
## 3rd Qu.: 1.2500 3rd Qu.:1.0000 3rd Qu.:0.9131395 3rd Qu.:1.0000
## Max. :22.0000 Max. :1.0000 Max. :1.0000000 Max. :1.0000HWE.owl.pop.WY <- hw.test(owl.pop.WY) #for WY population
summary(HWE.owl.pop.WY)## chi^2 df Pr(chi^2 >) Pr.exact
## Min. : 0.00000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.: 0.06934 1st Qu.:1.0000 1st Qu.:0.2068 1st Qu.:0.3330
## Median : 0.47763 Median :1.0000 Median :0.4895 Median :1.0000
## Mean : 3.51465 Mean :0.9188 Mean :0.4983 Mean :0.6755
## 3rd Qu.: 1.59348 3rd Qu.:1.0000 3rd Qu.:0.7923 3rd Qu.:1.0000
## Max. :73.00000 Max. :1.0000 Max. :1.0000 Max. :1.0000Evluating effective population size
Ne outputs a file that cant be read into r because its not in that format so ill attach it
#Ne
library(RLDNe)
library(hierfstat)
gen.owl <- vcfR2genind(vcf.owl, sep = "[|/]", return.alleles = TRUE) #convert to genind
pop(gen.owl) <- pop.data$population #specify the population for genind object
owl.loci <- genind2hierfstat(gen.owl) #NeV2_LDNe_create require data frame of type hierfstat
write_genepop_zlr(loci = owl.loci, pops = pop.data$population, ind.ids = pop.data$idcode,
folder = getwd(), filename="/owl_genpop.txt",
missingVal = NA, ncode = 2, diploid = T)
#mating system of 0 = random mating, default is manogamy,
#name of infile is differnt than write_genepop_zlr function becuse light editing of the popgen file was required
param_files <- NeV2_LDNe_create(input_file = "owl_genpop2.txt", param_file = "Ne_params.txt",
NE_out_file = "Ne_out.txt", matingsystem = 0)
run_LDNe(LDNe_params = param_files$param_file)## [1] "output file location was specified in param file"Ne_estimates <- (path = param_files$Ne_out_tab)Ho, He, Fis, Fst
Low fst indicateds that the different populations dont have a high degree of differentiation. Ho is also not considerable differnt between the popualtions.
library(hierfstat)
library(pegas)
gen.owl <- vcfR2genind(vcf.owl, sep = "[|/]", return.alleles = TRUE) #convert to genind
pop(gen.owl) <- pop.data$population #specify the population for genind object
owl.loci <- genind2hierfstat(gen.owl) #data frame of type hierfstat
#parse data into each populations
owl.loci.ORN <- gen.owl[owl.loci$pop == "ORN"]
owl.loci.ID <- gen.owl[owl.loci$pop == "ID"]
owl.loci.ORS <- gen.owl[owl.loci$pop == "ORS"]
owl.loci.CA <- gen.owl[owl.loci$pop == "CA"]
owl.loci.WY <- gen.owl[owl.loci$pop == "WY"]
#basic stats for each population
higherfstat.owl <- basic.stats(owl.loci, diploid = TRUE) #Basic stats for all populations
print(higherfstat.owl$overall)## Ho Hs Ht Dst Htp Dstp Fst Fstp Fis Dest
## 0.3121 0.2651 0.2967 0.0316 0.3046 0.0395 0.1066 0.1297 -0.1772 0.0538higherfstat.owl.ORN <- basic.stats(owl.loci.ORN, diploid = TRUE) #Basic stats population ORN
print(higherfstat.owl.ORN$overall)## Ho Hs Ht Dst Htp Dstp Fst Fstp Fis Dest
## 0.3148 0.2651 0.2651 0.0000 NaN NaN 0.0000 NaN -0.1876 NaNhigherfstat.owl.ID <- basic.stats(owl.loci.ID, diploid = TRUE) #Basic stats population ID
print(higherfstat.owl.ID$overall)## Ho Hs Ht Dst Htp Dstp Fst Fstp Fis Dest
## 0.3046 0.2688 0.2688 0.0000 NaN NaN 0.0000 NaN -0.1332 NaNhigherfstat.owl.ORS <- basic.stats(owl.loci.ORS, diploid = TRUE) #Basic stats population ORS
print(higherfstat.owl.ORS$overall)## Ho Hs Ht Dst Htp Dstp Fst Fstp Fis Dest
## 0.3257 0.2736 0.2736 0.0000 NaN NaN 0.0000 NaN -0.1905 NaNhigherfstat.owl.CA <- basic.stats(owl.loci.CA, diploid = TRUE) #Basic stats population CA
print(higherfstat.owl.CA$overall)## Ho Hs Ht Dst Htp Dstp Fst Fstp Fis Dest
## 0.3201 0.2640 0.2640 0.0000 NaN NaN 0.0000 NaN -0.2124 NaNhigherfstat.owl.WY <- basic.stats(owl.loci.WY, diploid = TRUE) #Basic stats population WY
print(higherfstat.owl.WY$overall)## Ho Hs Ht Dst Htp Dstp Fst Fstp Fis Dest
## 0.2952 0.2546 0.2546 0.0000 NaN NaN 0.0000 NaN -0.1594 NaN#obserevd vs exspected heterozygosity plot in the adegenet package
owl.het <- summary(gen.owl)
owl.het##
## // Number of individuals: 123
## // Group sizes: 8 11 9 22 73
## // Number of alleles per locus: 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## // Number of alleles per group: 8284 8780 8514 8591 9243
## // Percentage of missing data: 16.27 %
## // Observed heterozygosity: 0.83 0.94 0.47 0.94 0.15 0.12 0.37 0.78 0.69 0.35 0.56 0.17 0.1 0.92 0.54 0.55 0.12 0.99 0.43 0.11 0.32 0.25 0.95 0.14 0.22 0.98 0.13 0.36 0.34 0.57 0.32 0.84 0.17 0.21 0.82 0.1 0.93 0.35 0.19 0.14 0.07 0.29 0.35 0.84 0.19 0.38 0.21 0.42 0.14 0.37 0.14 0.51 0.31 0.12 0.36 0.17 0.17 0.26 0.16 0.3 0.33 0.12 0.4 0.09 0.26 0.27 0.18 0.11 0.1 0.13 0.24 0.4 0.09 0.13 0.22 0.36 0.97 0.13 0.71 0.09 0.32 0.32 0.11 0.14 0.27 0.17 0.21 0.23 0.3 0.11 0.28 0.13 0.76 0.38 0.44 0.23 0.23 0.57 0.85 0.14 0.42 0.26 0.1 0.89 0.17 0.85 0.09 0.72 0.14 0.47 0.98 0.34 0.07 0.29 0.44 0.99 0.12 0.47 0.11 0.92 0.33 0.92 0.21 0.47 0.92 0.53 0.18 0.17 0.3 0.31 0.78 0.66 0.38 0.48 0.29 0.07 0.81 0.18 0.33 0.48 0.27 0.48 0.23 0.28 0.17 0.08 0.18 0.21 0.26 0.2 0.34 0.18 0.41 0.18 0.98 0.21 0.36 0.15 0.09 0.28 0.29 0.26 0.32 0.11 0.27 0.42 0.34 0.2 0.6 0.27 0.26 0.34 0.25 0.19 0.23 0.21 0.31 0.18 1 0.95 0.93 0.16 0.94 0.21 0.25 0.15 0.19 0.62 0.37 0.34 0.24 0.27 0.22 0.42 0.13 0.39 0.11 0.38 0.27 0.3 0.11 0.2 0.42 0.12 0.55 0.13 0.12 0.31 0.18 0.08 0.49 0.41 0.98 0.11 0.17 0.16 0.25 0.1 0.38 0.34 0.36 0.23 0.27 0.32 0.86 0.1 0.11 0.9 0.71 0.15 0.28 0.26 0.89 0.34 0.41 0.16 0.15 0.33 0.14 0.44 0.37 0.92 0.88 0.18 0.14 0.13 0.16 0.21 0.33 0.17 0.43 0.87 0.13 0.34 0.13 0.15 0.14 0.14 0.17 0.15 0.1 0.17 0.86 0.37 0.92 0.4 0.73 0.18 0.34 0.4 0.16 0.12 0.35 0.12 0.46 0.29 0.48 0.36 0.08 0.22 0.27 0.25 0.53 0.4 0.51 0.48 0.1 0.12 0.37 0.29 0.28 0.18 1 0.16 0.24 0.34 0.15 0.14 0.27 0.08 0.43 0.17 0.12 0.96 0.11 0.39 0.37 0.19 0.34 0.4 0.3 0.25 0.2 0.36 0.37 0.11 0.3 0.22 0.16 0.46 0.41 0.97 0.19 0.81 0.32 0.81 0.51 0.34 0.25 0.5 0.48 0.15 0.28 0.19 0.49 0.13 0.15 0.97 0.35 0.57 0.41 0.12 0.15 0.52 0.29 0.2 0.16 0.09 0.41 0.33 0.98 0.15 0.27 0.17 0.15 0.14 0.33 0.29 0.76 0.27 0.13 0.56 0.75 0.29 0.3 0.43 0.96 0.32 0.27 0.39 0.41 0.3 0.54 0.33 0.92 0.83 0.25 0.2 0.28 0.29 0.55 0.16 0.16 0.35 0.79 0.44 0.1 0.16 0.12 0.19 0.41 0.26 0.14 0.52 0.27 0.37 0.19 0.16 0.41 0.58 0.14 0.98 0.13 0.49 0.43 0.19 0.58 0.33 0.28 0.18 0.1 0.47 0.49 0.26 0.98 0.38 0.14 0.28 0.25 0.3 0.35 0.2 0.13 0.26 0.75 0.1 0.38 0.23 0.6 0.51 0.53 0.33 0.35 0.19 0.17 0.28 0.18 0.51 0.23 1 0.95 0.2 0.38 0.12 0.92 0.38 0.27 0.12 0.12 0.32 0.79 0.17 0.24 0.22 0.45 0.12 0.15 0.27 0.84 0.44 0.15 0.08 0.1 0.11 0.14 0.18 0.1 0.23 0.1 0.44 0.13 0.44 0.18 0.11 0.36 0.35 0.39 0.42 0.33 0.85 0.29 0.05 0.15 0.28 0.14 0.38 0.18 0.58 0.13 0.79 0.26 0.15 0.33 0.33 0.86 0.14 0.12 0.38 0.22 0.15 0.23 0.12 0.16 0.28 0.3 0.19 0.87 0.36 0.21 0.26 0.18 0.14 0.07 0.26 0.46 0.1 0.13 0.23 0.41 0.48 0.51 0.48 0.34 0.34 0.11 0.48 0.11 0.43 0.35 0.28 0.43 0.23 0.45 0.15 0.44 0.27 0.12 0.12 0.23 0.21 0.16 0.58 0.3 0.13 0.14 0.38 0.15 0.46 0.13 0.18 0.43 0.07 0.27 0.37 0.11 0.92 0.23 0.28 0.46 0.22 0.13 0.2 0.39 0.34 0.15 0.42 0.41 0.35 0.4 0.15 0.42 0.12 0.11 0.28 0.3 0.44 0.11 0.29 0.56 0.21 0.45 0.18 0.71 0.16 0.12 0.2 0.29 0.25 0.33 0.97 0.4 0.75 0.23 0.27 0.15 0.15 0.45 0.28 0.3 0.3 0.21 0.15 0.32 0.1 0.32 0.97 0.08 0.45 0.29 0.19 0.17 0.37 0.23 0.12 0.25 0.41 0.16 0.39 0.31 0.13 0.19 0.15 0.32 0.4 0.19 0.53 0.1 0.28 0.68 0.17 0.18 0.24 0.45 0.17 0.12 0.16 0.16 0.15 0.34 0.2 0.84 0.34 0.5 0.29 0.11 0.46 0.25 0.18 0.14 0.15 0.3 0.48 0.21 0.12 0.41 0.51 0.13 1 0.08 0.21 0.11 0.31 0.4 0.16 0.11 0.47 0.14 0.1 0.32 0.37 0.91 0.34 0.51 0.17 0.28 0.31 0.12 0.24 0.23 0.43 0.2 0.34 0.72 0.13 0.29 0.13 0.3 0.13 0.34 0.23 0.14 0.34 0.14 0.45 0.38 0.26 0.49 0.11 0.14 0.1 0.26 0.98 0.47 0.82 0.5 0.71 0.31 0.29 0.11 0.19 0.1 0.37 0.09 0.17 0.44 0.28 0.42 0.12 0.68 0.98 0.16 0.49 0.27 0.52 0.12 0.06 0.48 0.34 0.33 0.38 0.44 0.12 0.17 0.18 0.47 0.2 0.39 0.98 0.13 0.55 0.15 0.24 0.27 0.38 0.65 0.37 0.31 0.15 0.49 0.95 0.2 0.67 0.1 0.14 0.14 0.41 0.34 0.19 0.43 0.11 0.25 0.13 0.25 0.26 0.25 0.13 0.99 0.38 0.22 0.2 0.13 0.16 0.27 0.32 0.23 0.15 0.57 0.15 0.38 0.14 0.92 0.11 0.34 0.23 0.69 0.19 0.25 0.84 0.52 0.13 0.33 0.27 0.13 0.15 0.21 0.34 0.27 0.19 0.32 0.31 0.37 0.17 0.15 0.38 0.98 0.11 0.32 0.23 0.1 0.1 0.84 0.34 0.75 0.46 0.42 0.15 0.16 0.27 0.35 0.63 0.41 0.33 0.22 0.32 0.21 0.49 0.35 0.92 0.12 0.38 0.47 0.19 0.11 0.97 0.21 0.29 0.1 0.4 0.17 0.12 0.36 0.27 0.17 0.09 0.88 0.1 0.09 0.95 0.45 0.22 0.37 0.17 0.38 0.2 0.3 0.09 0.44 0.25 0.28 0.17 0.18 0.14 0.38 0.83 0.15 0.14 0.26 0.2 0.47 0.1 0.12 0.27 0.14 0.12 0.93 0.11 0.15 0.28 0.25 0.17 0.3 0.5 0.09 0.13 0.98 0.26 0.19 0.22 0.28 0.12 0.1 0.57 0.18 0.99 0.39 0.19 0.11 0.25 0.3 0.57 0.35 0.13 0.4 0.16 0.21 0.49 0.14 0.26 0.33 0.11 0.15 0.31 0.85 0.19 0.42 0.97 0.95 0.21 0.11 0.33 0.25 0.45 0.53 0.5 0.99 0.55 0.24 0.11 0.22 0.21 0.26 0.36 0.41 0.29 0.23 0.13 0.26 0.75 0.09 0.23 0.31 0.46 0.33 0.41 0.58 0.37 0.24 0.31 0.28 0.11 0.31 0.42 0.1 0.5 0.17 0.14 0.61 0.09 0.23 0.32 0.23 0.16 0.32 0.4 0.52 0.26 0.33 0.91 0.33 0.11 0.44 0.29 0.36 0.18 0.26 0.14 0.59 0.37 0.38 0.13 0.25 0.54 0.07 0.15 0.21 0.44 0.51 0.23 0.11 0.14 0.44 0.49 0.12 0.15 0.19 0.18 0.13 0.35 0.13 0.16 0.15 0.45 0.16 0.08 0.13 0.07 0.13 0.25 0.32 0.34 0.11 0.1 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0.42 0.24 0.28 0.46 0.23 0.29 0.93 0.28 0.1 0.12 0.23 0.4 0.21 0.16 0.45 0.97 0.12 0.78 0.5 0.26 0.4 0.11 0.13 0.25 0.33 0.39 0.23 0.47 0.12 0.23 0.55 0.61 0.25 0.22 0.13 0.11 0.38 0.48 0.11 0.33 0.3 0.37 0.41 0.18 0.57 0.16 0.41 0.23 0.27 0.56 0.16 0.17 0.33 0.98 0.78 0.45 0.15 0.33 0.24 0.37 0.13 0.14 0.29 0.12 0.24 0.71 0.18 0.43 0.34 0.17 0.64 0.21 0.1 0.24 0.08 0.15 0.38 0.1 0.12 0.12 0.79 0.97 0.19 0.11 0.15 0.48 0.17 0.12 0.17 0.25 0.1 0.11 0.32 0.32 0.21 0.33 0.2 0.26 0.12 0.47 0.37 0.37 0.39 0.31 0.32 0.34 0.28 0.47 0.74 0.12 0.37 0.98 0.18 0.2 0.38 0.27 0.32 0.49 0.23 0.26 0.3 0.3 0.46 0.24 0.16 0.41 0.47 0.13 0.49 0.15 0.18 0.36 0.36 0.36 0.19 0.22 0.67 0.21 0.24 0.3 0.19 0.39 0.44 0.19 0.12 0.52 0.38 0.38 0.2 0.1 0.27 0.13 0.14 0.41 0.18 0.14 0.16 0.1 0.27 0.34 0.19 0.46 0.16 0.11 0.09 0.22 0.18 0.09 0.38 0.24 0.19 0.38 0.31 0.33 0.12 0.44 0.11 0.24 0.6 0.48 0.38 0.54 0.12 0.56 0.18 0.17 0.24 0.42 0.1 0.16 0.46 0.5 0.12 0.23 0.34 0.8 0.12 0.18 0.44 0.42 0.49 0.24 0.11 0.23 0.11 0.4 0.26 0.43 0.43 0.17 0.3 0.21 0.26 0.45 0.6 0.28 0.23 0.18 0.33 0.41 0.1 0.14 0.11 0.39 0.21 0.28 0.38 0.2 0.35 0.31 0.1 0.42 0.31 0.2 0.41 0.13 0.35 0.15 0.09 0.13 0.16 0.34 0.38 0.34 0.29 0.05 0.2 0.31 0.17 0.12 0.26 0.34 0.12 0.54 0.19 0.21 0.21 0.36 0.3 0.5 0.17 0.41 0.23 0.25 0.32 0.4 0.23 0.26 0.17 0.23 0.4 0.15 0.27 0.32 0.35 0.16 0.24 0.11 0.25 0.27 0.3 0.41 0.17 0.46 0.15 0.31 0.57 0.18 0.14 0.46 0.1 0.48 0.99 0.16 0.2 0.1 0.12 0.38 0.16 0.16 0.12 0.23 0.15 0.18 0.22 0.38 0.08 0.18 0.32 0.16 0.18 0.43 0.31 0.42 0.28 0.14 0.33 0.63 0.24 0.36 0.14 0.11 0.38 0.59 0.28 0.51 0.18 0.12 0.24 0.13 0.17 0.3 0.35 0.43 0.47 0.19 0.4 0.09 0.27 0.51 0.31 0.53 0.15 0.16 0.5 0.33 0.22 0.14 0.15 0.27 0.17 0.26 0.52 0.29 0.72 0.18 0.5 0.3 0.16 0.2 0.11 0.55 0.45 0.15 0.18 0.43 0.24 0.27 0.37 0.12 0.2 0.29 0.14 0.16 0.55 0.36 0.27 0.29 0.16 0.38 0.24 0.08 0.11 0.33 0.11 0.23 0.17 0.14 0.4 0.44 0.55 0.98 0.17 0.48 0.32 0.23 0.33 0.24 0.41 0.33 0.69 0.38 0.48 0.17 0.28 0.46 0.23 0.28 0.23 0.39 0.29 0.3 0.27 0.27 0.25 0.18 0.18 0.24 0.07 0.13 0.24 0.13 0.11 0.15 0.15 0.49 0.28 0.21 0.43 0.96 0.29 0.11 0.39 0.1 0.47 0.1 0.38 0.19 0.18 0.2 0.48 0.12 0.45 0.44 0.99 0.13 0.11 0.28 0.5 0.13 0.23 0.16 0.31 0.18 0.35 0.36 0.22 0.12 0.11 0.4 0.25 0.13 0.14 0.24 0.36 0.5 0.25 0.33 0.1 0.13 0.22 0.12 0.79 0.12 0.6 0.11 0.26 0.22 0.46 0.17 0.26 0.35 0.59 0.44 0.35 0.3 0.23 0.76 0.18 0.52 0.33 0.12 0.47 0.37 0.09 1 0.42 0.14 0.12 0.12 0.2 0.47 0.32 0.54 0.15 0.13 0.11 0.32 0.1 0.19 0.1 0.31 0.13 0.2 0.46 0.92 0.22 0.51 0.18 0.33 0.15 0.09 0.93 0.15 0.09 0.15 0.41 0.1 0.39 0.4 0.31 0.29 0.44 0.11 0.23 0.3 0.31 0.21 0.51 0.25 0.42 0.22 0.18 0.12 0.12 0.14 0.25 0.34 0.26 0.33 0.13 0.49 0.11 1 0.24 0.17 0.9 0.46 0.2 0.12 0.14 0.35 0.4 0.19 0.47 0.28 0.34 0.25 0.1 0.43 0.11 0.11 0.27 0.11 0.19 0.34 0.13 0.26 0.14 0.32 0.17 0.78 0.15 0.26 0.15 0.13 0.34 0.14 0.28 0.14 0.14 0.33 0.39 0.24 0.58 0.2 0.35 0.49 0.15 0.29 0.26 0.35 0.08 0.7 0.19 0.27 0.38 0.6 0.29 0.44 0.38 0.31 0.15 0.36 0.12 0.26 0.22 0.98 0.89 0.19 0.17 0.37 0.22 0.35 0.11 0.29 0.2 0.3 0.11 0.22 0.28 0.2 0.15 0.17 0.14 0.18 0.34 0.89 0.92 0.43 0.24 0.17 0.37 0.24 0.21 0.5 0.29 0.44 0.27 0.1 0.07 0.4 0.48 0.17 0.36 0.2 0.1 0.14 0.3 0.41 0.32 0.34 0.19 0.98 0.09 0.31 0.2 0.28 0.19 0.39 0.13 0.3 0.16 0.97 0.32 0.22 0.57 0.48 0.29 0.5 0.33 0.18 0.39 0.13 0.13 0.13 0.82 0.08 0.28 0.46 0.12 0.2 0.25 0.37 0.36 0.2 0.85 0.79 0.09 0.12 0.15 0.24 0.35 0.16 0.35 0.13 0.16 0.46 0.45 0.17 0.52 0.45 0.18 0.23 0.4 0.14 0.3 0.37 0.14 0.49 0.41 0.4 0.24 0.19 0.46 0.99 0.16 0.17 0.31 0.32 0.24 0.18 0.32 0.43 0.25 0.33 0.24 0.22 0.33 0.11 0.99 0.36 0.1 0.5 0.39 0.15 0.42 0.23 0.34 0.1 0.24 0.25 0.12 0.74 0.23 0.23 0.11 0.13 0.18 0.11 0.22 0.12 0.42 0.18 0.2 0.16 0.91 0.19 0.25 0.15 0.3 0.23 0.28 0.41 0.15 0.33 0.25 0.5 0.2 0.35 0.27 0.33 0.1 0.15 0.27 0.52 0.16 0.29 0.37 0.18 0.19 0.18 0.51 0.28 0.34 0.39 0.09 0.28 0.36 0.54 0.34 0.24 0.58 0.09 0.11 0.34 0.24 0.47 0.11 0.32 0.4 0.17 0.5 0.14 0.37 0.39 0.13 0.1 0.35 0.35 0.21 0.19 0.34 0.51 0.39 0.19 0.27 0.11 0.11 0.31 0.22 0.23 0.27 0.37 0.37 0.53 0.38 0.15 0.43 0.16 0.19 0.11 0.98 0.34 0.16 0.1 0.14 0.25 0.1 0.19 0.5 0.1 0.47 0.1 0.27 0.35 0.56 0.11 0.15 0.11 0.17 0.52 0.4 0.1 0.36 0.2 0.26 0.38 0.46 0.47 0.19 0.43 0.27 0.17 0.29 0.42 0.14 0.11 0.41 0.41 0.12 0.14 0.31 0.97 0.19 0.41 0.14 0.13 0.39 0.26 0.21 0.09 0.18 0.2 0.13 0.52 0.09 0.14 0.1 0.18 0.29 0.17 0.1 0.4 0.24 0.38 0.19 0.24 0.12 0.24 0.17 0.14 0.19 0.4 0.39 0.1 0.28 0.51 0.46 0.34 0.26 0.1 0.12 0.1 0.34 0.16 0.13 0.09 0.3 0.35 0.17 0.45 0.13 0.19 0.34 0.26 0.12 0.44 0.14 0.11 0.31 0.14 0.36 0.47 0.42 0.46 0.36 0.09 0.43 0.11 0.27 0.2 0.17 0.15 0.13 0.14 0.13 0.37 0.24 0.17 0.36 0.1 0.38 0.29 0.39 0.17 0.26 0.3 0.39 0.25 0.12 0.17 0.31 0.44 0.32 0.15 0.52 0.15 0.24 0.48 0.1 0.11 0.26 0.4 0.1 0.11 0.17 0.52 0.09 0.54 0.38 1 0.46 0.33 0.17 0.45 0.13 0.11 0.46 0.08 0.22 1 0.15 0.11 0.2 0.45 0.16 0.35 0.41 0.34 0.4 0.38 0.32 0.13 0.46 0.26 0.09 0.27 0.16 0.5 0.17 0.14 0.15 0.24 0.54 0.48 0.11 0.47 0.57 0.45 0.26 0.38 0.16 0.31 0.47 0.41 0.52 0.49 0.31 0.17 0.32 0.39 0.48 0.16 0.12 0.1 0.21 0.1 0.1 0.18 0.14 0.1 0.22 0.19 0.29 0.28 0.11 0.11 0.21 0.34 0.22 0.17 0.16 0.44 0.47 0.34 0.1 0.45 0.26 0.48 0.53 0.2 0.14 0.43 0.22 0.11 1 0.31 0.33 0.54 0.11 0.32 0.66 0.69 0.41 0.09 0.5 0.18 0.31 0.29 0.12 0.14 0.37 0.16 0.69 0.99 0.46 0.42 0.29 0.11 0.15 0.5 0.24 0.13 0.13 0.26 0.28 0.24 0.39 0.11 0.28 0.53 0.24 0.24 0.09 0.11 0.27 0.18 0.25 0.21 0.52 0.28 0.6 0.16 0.14 0.33 0.32 0.62 0.15 0.2 0.12 0.12 0.42 0.28 0.14 0.09 0.15 0.1 0.1 0.26 0.16 0.31 0.96 0.39 0.43 0.55 0.35 0.33 0.24 0.15 0.1 0.34 0.24 0.25 0.28 0.3 0.21 0.21 0.77 0.2 0.26 0.45 0.16 0.14 0.17 0.15 0.35 0.12 0.12 0.27 0.43 0.12 0.27 0.1 0.15 0.12 0.95 0.18 0.31 0.24 0.34 0.1 0.32 0.12 0.41 0.27 0.18 0.13 0.11 0.9 0.38 0.13 0.5 0.19 0.42 0.2 0.13 0.39 0.17 0.21 0.35 0.12 0.29 0.47 0.13 0.37 0.44 0.51 0.76 0.93 0.53 0.35 0.11 0.21 0.45 0.38 0.32 0.12 0.5 0.2 0.97 0.28 0.18 0.11 0.81 0.24 0.14 0.12 0.31 0.12 0.37 0.18 0.13 0.11 0.7 0.17 0.1 0.24 0.31 0.36 0.21 0.43 0.29 0.15 0.11 0.32 0.9 0.29 0.32 0.34 0.15 0.19 0.32 0.15 0.41 0.19 0.58 0.48 0.29 0.21 0.15 0.41 0.14 0.15 0.18 0.17 0.21 0.4 0.18 0.56 0.26 0.37 0.42 0.19 0.39 0.39 0.31 0.93 0.27 0.2 0.16 0.1 0.13 0.11 0.3 0.13 0.17 0.38 0.37 0.19 0.96 0.1 0.46 0.13 0.17 0.11 0.25 0.21 0.14 0.11 0.1 0.3 0.3 0.06 0.43 0.64 0.5 0.22 0.12 0.13 0.18 0.08 0.17 0.19 0.13 0.11 0.24 0.26 0.55 0.25 0.3 0.11 0.62 0.42 0.29 0.13 0.53 0.13 0.11 0.15 0.33 0.51 0.15 0.31 0.12 0.32 0.33 0.46 0.8 0.25 0.3 0.18 0.28 0.34 0.39 0.16 0.1 0.57 0.37 0.2 0.12 0.24 0.32 0.3 0.2 0.08 0.05 0.25 0.17 0.48 0.5 0.15 0.1 0.22 0.2 0.37 0.19 0.11 0.48 0.45 0.12 0.13 0.25 0.11 0.26 0.12 0.12 0.5 0.48 0.32 0.23 0.16 0.14 0.37 0.21 0.21 0.39 0.49 0.14 0.18 0.17 0.1 0.11 0.08 0.1 0.51 0.15 0.17 0.12 0.35 0.5 0.15 0.29 0.39 0.5 0.52 0.19 0.15 0.09 0.48 0.1 0.25 0.48 0.49 0.32 0.14 0.49 0.35 0.15 0.12 0.33 0.27 0.36 0.16 0.34 0.15 0.18 0.17 0.41 0.12 0.27 0.34 0.26 0.39 0.12 0.18 0.25 0.11 0.25 0.39 0.12 0.11 0.41 0.26 0.19 0.46 0.25 0.1 0.1 0.4 0.23 0.23 0.2 0.18 0.24 0.05 0.23 0.12 0.1 0.27 0.19 0.14 0.2 0.18 0.23 0.3 0.21 0.54 0.18 0.11 0.38 0.33 0.99 0.24 0.08 0.41 0.44 0.45 0.1 0.26 0.26 0.3 0.33 0.19 0.17 0.41 0.5 0.52 0.46 0.35 0.27 0.37 0.37 0.13 0.47 0.07 0.08 0.18 0.38 0.11 0.26 0.47 0.33 0.24 0.16 0.2 0.38 0.14 0.15 0.12 0.12 0.28 0.09 0.11 0.36 0.4 0.23 0.14 0.13 0.12 0.08 0.13 0.24 0.58 0.21 0.19 0.16 0.99 0.17 0.35 0.13 0.13 0.42 0.19 0.27 0.1 0.27 0.12 0.17 0.17 0.17 0.2 0.15 0.21 0.46 0.1 0.6 0.16 0.95 0.45 0.37 0.28 0.34 0.08 0.14 0.32 0.2 0.4 0.11 0.2 0.09 0.12 0.43 0.12 0.34 0.12 0.27 0.28 0.31 0.12 0.38 0.36 0.5 0.17 0.24 0.16 0.1 0.11 0.19 0.28 0.37 0.25 0.13 0.18 0.19 0.21 0.47 0.18 0.11 0.19 0.13 0.06 0.34 0.35 0.34 0.35 0.21 0.96 0.14 0.43 0.46 0.1 0.17 0.18 0.26 0.18 0.27 0.24 0.98 0.14 0.19 0.11 0.2 0.17 0.1 0.1 0.45 0.44 0.1 0.36 0.3 0.84 0.09 0.09 0.19 0.15 0.29 0.22 0.96 0.2 0.31 0.39 0.54 0.44 0.15 0.17 0.29 0.16 0.19 0.25 0.15 0.29 0.13 0.43 0.2 0.2 0.31 0.24 0.37 0.16 0.09 0.12 0.97 0.07 0.13 0.36 0.2 0.13 0.17 0.2 0.18 0.1 0.4 0.32 0.41 0.36 0.5 0.29 0.22 0.13 0.23 0.35 0.11 0.37 0.2 0.52 0.18 0.3 0.12 0.09 0.46 0.48 0.22 0.09 0.14 0.11 0.4 0.24 0.28 0.13 0.28 0.82 0.16 0.75 0.99 0.23 0.1 0.38 0.11 0.38 0.15 0.23 0.22 0.1 0.09 0.39 0.21 0.16 0.42 0.83 0.34 0.24 0.15 0.39 0.22 0.98 0.09 0.26 0.52 0.06 0.16 0.3 0.18 0.14 0.42 0.33 0.64 0.51 0.15 0.16 0.4 0.47 0.15 0.16 0.93 0.24 0.19 0.47 0.71 0.11 0.22 0.14 0.16 0.26 0.2 0.26 0.98 0.46 0.17 0.48 0.42 0.12 0.12 0.33 0.38 0.09 0.37 0.25 0.12 0.14 0.18 0.14 0.44 0.25 0.27 0.21 0.09 0.36 0.26 0.2 1 0.37 0.44 0.19 0.18 0.44 0.33 0.12 0.26 0.18 0.33 0.54 0.39 0.2 0.37 0.35 0.59 0.11 0.47 0.35 0.13 0.27 0.97 0.33 0.14 0.19 0.14 0.18 0.38 0.43 0.11 0.11 0.2 0.42 0.13 0.12 0.15 0.17 0.31 0.48 0.56 0.82 0.31 0.12 0.2 0.19 0.27 0.53 0.99 0.41 0.43 0.32 0.39 0.27 0.1 0.15 0.77 0.26 0.27 0.34 0.23 0.3 0.12 0.46 0.23 0.16 0.32 0.21 0.17 0.26 0.11 0.3 0.28 0.26 0.1 0.21 0.23 0.29 0.18 0.25 0.35 0.19 0.29 0.09 0.24 0.29 0.17 0.34 0.76 0.92 0.2 0.06 0.74 0.12 0.14 0.16 0.3 0.54 0.14 0.24 0.14 0.44 0.95 0.09 0.28 0.18 0.31 0.31 0.09 0.29 0.08 0.15 0.16 0.08 0.28 0.1 0.2 0.23 0.57 0.12 0.11 0.55 0.25 0.11 0.24 0.42 0.4 0.89 0.11 0.16 0.86 0.23 0.1 0.26 0.38 0.1 0.26 0.98 0.22 0.14 0.32 0.35 0.11 0.17 0.2 0.1 0.39 0.39 0.27 0.12 0.32 0.38 0.64 0.44 0.1 0.5 0.69 0.35 0.32 0.2 0.8 0.23 0.11 0.12 0.12 0.14 0.12 0.31 0.15 0.72 0.93 0.1 0.1 0.84 0.88 0.21 0.6 0.35 0.3 0.24 0.15 0.99 0.22 0.84 0.08 0.85 0.53 0.45 0.19 0.38 0.46 0.18 0.37
## // Expected heterozygosity: 0.49 0.5 0.38 0.5 0.14 0.12 0.48 0.48 0.49 0.32 0.49 0.21 0.1 0.5 0.4 0.49 0.11 0.5 0.44 0.11 0.48 0.26 0.5 0.13 0.33 0.5 0.15 0.29 0.28 0.5 0.37 0.49 0.23 0.24 0.48 0.1 0.5 0.34 0.17 0.13 0.12 0.32 0.39 0.49 0.17 0.43 0.26 0.33 0.18 0.33 0.13 0.48 0.34 0.15 0.38 0.17 0.38 0.31 0.14 0.28 0.36 0.14 0.34 0.12 0.22 0.33 0.16 0.1 0.13 0.14 0.21 0.38 0.09 0.16 0.24 0.37 0.5 0.12 0.47 0.1 0.36 0.27 0.11 0.15 0.25 0.18 0.25 0.22 0.3 0.12 0.25 0.18 0.47 0.39 0.34 0.2 0.28 0.41 0.49 0.16 0.47 0.27 0.11 0.49 0.15 0.49 0.09 0.46 0.13 0.49 0.5 0.34 0.1 0.26 0.43 0.5 0.11 0.4 0.1 0.5 0.34 0.5 0.23 0.46 0.5 0.48 0.18 0.16 0.26 0.38 0.48 0.46 0.37 0.48 0.25 0.1 0.48 0.3 0.33 0.45 0.25 0.42 0.22 0.35 0.19 0.11 0.2 0.26 0.33 0.2 0.28 0.21 0.48 0.16 0.5 0.25 0.37 0.14 0.12 0.27 0.25 0.27 0.27 0.1 0.26 0.37 0.34 0.18 0.42 0.27 0.31 0.47 0.22 0.2 0.2 0.23 0.28 0.28 0.5 0.5 0.5 0.15 0.5 0.22 0.28 0.15 0.17 0.44 0.46 0.29 0.22 0.37 0.21 0.37 0.13 0.31 0.1 0.41 0.23 0.32 0.14 0.23 0.44 0.11 0.4 0.26 0.11 0.29 0.16 0.11 0.49 0.5 0.5 0.1 0.16 0.15 0.25 0.11 0.31 0.38 0.32 0.23 0.24 0.32 0.49 0.1 0.13 0.5 0.46 0.27 0.24 0.35 0.49 0.33 0.45 0.15 0.16 0.32 0.13 0.34 0.38 0.5 0.49 0.29 0.13 0.16 0.22 0.19 0.31 0.21 0.34 0.49 0.12 0.32 0.14 0.15 0.13 0.13 0.15 0.15 0.11 0.15 0.49 0.36 0.5 0.42 0.46 0.16 0.3 0.42 0.18 0.11 0.29 0.12 0.49 0.28 0.49 0.31 0.11 0.21 0.27 0.26 0.39 0.36 0.5 0.46 0.1 0.11 0.47 0.25 0.33 0.19 0.5 0.17 0.21 0.36 0.15 0.15 0.34 0.12 0.39 0.2 0.11 0.5 0.16 0.39 0.35 0.18 0.35 0.43 0.48 0.25 0.18 0.44 0.4 0.12 0.27 0.21 0.15 0.42 0.43 0.5 0.35 0.48 0.32 0.48 0.47 0.36 0.27 0.47 0.46 0.14 0.31 0.19 0.44 0.14 0.14 0.5 0.36 0.48 0.46 0.13 0.14 0.5 0.32 0.23 0.15 0.09 0.44 0.31 0.5 0.17 0.26 0.16 0.14 0.16 0.42 0.25 0.47 0.3 0.12 0.49 0.47 0.33 0.27 0.34 0.5 0.32 0.24 0.31 0.38 0.26 0.49 0.39 0.5 0.49 0.26 0.19 0.33 0.29 0.46 0.15 0.15 0.37 0.48 0.45 0.11 0.15 0.13 0.19 0.42 0.25 0.15 0.49 0.31 0.43 0.31 0.17 0.46 0.41 0.13 0.5 0.16 0.46 0.34 0.19 0.49 0.3 0.28 0.16 0.1 0.46 0.46 0.28 0.5 0.36 0.18 0.27 0.24 0.26 0.3 0.2 0.12 0.26 0.47 0.1 0.3 0.2 0.42 0.49 0.48 0.29 0.48 0.18 0.19 0.33 0.21 0.5 0.25 0.5 0.5 0.18 0.42 0.13 0.5 0.4 0.25 0.16 0.14 0.31 0.48 0.23 0.28 0.21 0.49 0.13 0.2 0.26 0.49 0.41 0.21 0.11 0.11 0.13 0.13 0.19 0.1 0.31 0.09 0.5 0.12 0.41 0.2 0.1 0.38 0.3 0.44 0.44 0.3 0.49 0.41 0.11 0.14 0.26 0.15 0.38 0.17 0.41 0.14 0.48 0.39 0.14 0.34 0.27 0.49 0.14 0.11 0.49 0.2 0.14 0.2 0.11 0.17 0.26 0.29 0.26 0.49 0.34 0.21 0.23 0.17 0.2 0.1 0.25 0.48 0.1 0.12 0.28 0.5 0.48 0.38 0.49 0.32 0.38 0.11 0.5 0.14 0.49 0.29 0.25 0.48 0.2 0.5 0.14 0.34 0.28 0.15 0.13 0.47 0.2 0.15 0.41 0.28 0.12 0.16 0.33 0.14 0.41 0.14 0.17 0.48 0.1 0.25 0.36 0.12 0.5 0.28 0.24 0.47 0.25 0.13 0.23 0.45 0.34 0.15 0.44 0.48 0.41 0.41 0.16 0.44 0.14 0.1 0.28 0.35 0.46 0.1 0.33 0.49 0.19 0.41 0.16 0.46 0.16 0.11 0.2 0.26 0.23 0.32 0.5 0.4 0.47 0.2 0.23 0.16 0.14 0.35 0.35 0.33 0.47 0.2 0.14 0.37 0.09 0.33 0.5 0.11 0.5 0.28 0.26 0.22 0.34 0.21 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0.48 0.21 0.3 0.5 0.21 0.15 0.38 0.17 0.23 0.19 0.49 0.19 0.16 0.28 0.39 0.45 0.26 0.16 0.28 0.1 0.36 0.15 0.09 0.32 0.39 0.2 0.48 0.14 0.38 0.37 0.12 0.11 0.38 0.16 0.28 0.1 0.5 0.46 0.46 0.13 0.11 0.29 0.25 0.18 0.14 0.38 0.49 0.27 0.42 0.23 0.31 0.34 0.13 0.27 0.45 0.29 0.21 0.46 0.17 0.1 0.38 0.2 0.26 0.14 0.48 0.11 0.42 0.21 0.29 0.48 0.15 0.26 0.5 0.12 0.5 0.19 0.28 0.32 0.11 0.26 0.13 0.29 0.16 0.15 0.25 0.14 0.12 0.12 0.5 0.49 0.32 0.24 0.18 0.47 0.21 0.17 0.24 0.31 0.38 0.32 0.32 0.18 0.37 0.15 0.36 0.13 0.2 0.22 0.49 0.41 0.28 0.1 0.49 0.35 0.48 0.22 0.2 0.5 0.39 0.31 0.1 0.19 0.14 0.49 0.1 0.48 0.31 0.35 0.22 0.41 0.23 0.22 0.1 0.33 0.34 0.39 0.17 0.29 0.34 0.19 0.25 0.22 0.35 0.26 0.15 0.17 0.19 0.49 0.21 0.49 0.33 0.29 0.41 0.42 0.2 0.21 0.27 0.16 0.15 0.47 0.37 0.16 0.37 0.47 0.2 0.11 0.17 0.23 0.1 0.33 0.18 0.45 0.5 0.22 0.34 0.11 0.21 0.24 0.16 0.15 0.15 0.19 0.23 0.48 0.35 0.48 0.15 0.46 0.15 0.22 0.36 0.13 0.12 0.26 0.15 0.43 0.09 0.16 0.48 0.28 0.15 0.28 0.21 0.27 0.19 0.29 0.23 0.49 0.2 0.49 0.36 0.3 0.5 0.28 0.31 0.12 0.22 0.39 0.11 0.27 0.39 0.11 0.36 0.13 0.48 0.38 0.19 0.37 0.17 0.15 0.46 0.25 0.25 0.12 0.28 0.5 0.33 0.19 0.23 0.15 0.1 0.44 0.5 0.12 0.11 0.47 0.39 0.3 0.2 0.21 0.45 0.5 0.45 0.17 0.5 0.15 0.19 0.15 0.18 0.18 0.4 0.36 0.44 0.12 0.21 0.09 0.11 0.23 0.13 0.25 0.5 0.37 0.1 0.46 0.45 0.22 0.4 0.36 0.37 0.16 0.17 0.38 0.22 0.17 0.12 0.21 0.39 0.17 0.13 0.1 0.21 0.47 0.1 0.4 0.11 0.29 0.5 0.34 0.41 0.32 0.16 0.21 0.45 0.26 0.42 0.36 0.2 0.39 0.34 0.31 0.11 0.26 0.44 0.25 0.36 0.23 0.21 0.29 0.25 0.22 0.26 0.2 0.34 0.16 0.5 0.39 0.49 0.31 0.33 0.13 0.21 0.11 0.18 0.1 0.32 0.45 0.18 0.21 0.18 0.13 0.49 0.16 0.2 0.25 0.16 0.12 0.5 0.48 0.19 0.24 0.2 0.49 0.18 0.4 0.49 0.48 0.1 0.45 0.4 0.5 0.31 0.27 0.09 0.45 0.45 0.24 0.1 0.21 0.48 0.26 0.26 0.34 0.14 0.11 0.32 0.49 0.13 0.15 0.49 0.37 0.24 0.41 0.49 0.23 0.28 0.5 0.31 0.1 0.11 0.21 0.39 0.31 0.16 0.38 0.5 0.18 0.48 0.5 0.24 0.34 0.1 0.16 0.27 0.49 0.36 0.28 0.5 0.13 0.22 0.45 0.5 0.29 0.24 0.13 0.11 0.37 0.47 0.11 0.34 0.28 0.37 0.4 0.16 0.41 0.16 0.38 0.22 0.24 0.5 0.14 0.2 0.31 0.5 0.48 0.5 0.18 0.35 0.5 0.36 0.14 0.15 0.28 0.12 0.29 0.46 0.18 0.39 0.37 0.22 0.44 0.19 0.1 0.26 0.1 0.16 0.37 0.09 0.13 0.12 0.48 0.5 0.2 0.12 0.19 0.48 0.16 0.12 0.22 0.22 0.1 0.11 0.34 0.39 0.22 0.5 0.3 0.26 0.11 0.47 0.35 0.34 0.38 0.32 0.34 0.38 0.28 0.45 0.47 0.11 0.34 0.5 0.17 0.25 0.38 0.28 0.38 0.38 0.2 0.27 0.38 0.26 0.5 0.24 0.19 0.38 0.45 0.14 0.43 0.14 0.23 0.39 0.33 0.47 0.2 0.23 0.45 0.2 0.25 0.3 0.2 0.49 0.44 0.22 0.11 0.49 0.38 0.37 0.23 0.11 0.26 0.16 0.14 0.5 0.16 0.13 0.16 0.1 0.28 0.33 0.19 0.47 0.22 0.17 0.1 0.19 0.23 0.1 0.4 0.26 0.17 0.48 0.31 0.35 0.16 0.47 0.12 0.29 0.42 0.5 0.34 0.48 0.13 0.47 0.16 0.15 0.29 0.43 0.13 0.17 0.47 0.48 0.15 0.2 0.32 0.48 0.11 0.17 0.5 0.37 0.47 0.21 0.1 0.22 0.12 0.32 0.47 0.4 0.5 0.16 0.32 0.36 0.24 0.43 0.5 0.3 0.36 0.23 0.37 0.46 0.11 0.15 0.1 0.42 0.22 0.28 0.42 0.32 0.36 0.37 0.1 0.4 0.28 0.21 0.37 0.16 0.29 0.14 0.09 0.12 0.15 0.32 0.48 0.36 0.24 0.1 0.18 0.28 0.18 0.13 0.27 0.48 0.11 0.49 0.18 0.29 0.2 0.41 0.26 0.45 0.17 0.46 0.24 0.23 0.29 0.41 0.25 0.22 0.16 0.23 0.42 0.22 0.25 0.33 0.33 0.16 0.34 0.1 0.27 0.39 0.28 0.49 0.15 0.4 0.14 0.31 0.49 0.16 0.15 0.41 0.15 0.49 0.5 0.21 0.25 0.15 0.14 0.5 0.15 0.14 0.13 0.21 0.15 0.17 0.29 0.32 0.11 0.19 0.36 0.28 0.16 0.45 0.26 0.39 0.25 0.13 0.32 0.43 0.21 0.38 0.13 0.12 0.34 0.49 0.29 0.38 0.19 0.11 0.26 0.26 0.19 0.26 0.47 0.44 0.5 0.18 0.4 0.15 0.38 0.5 0.27 0.5 0.17 0.14 0.49 0.29 0.19 0.13 0.16 0.26 0.38 0.24 0.5 0.28 0.46 0.2 0.48 0.28 0.16 0.22 0.1 0.5 0.37 0.17 0.28 0.38 0.22 0.23 0.38 0.13 0.19 0.26 0.13 0.17 0.49 0.35 0.43 0.29 0.19 0.5 0.24 0.13 0.12 0.42 0.12 0.33 0.18 0.18 0.48 0.48 0.4 0.5 0.17 0.49 0.31 0.27 0.32 0.23 0.33 0.37 0.45 0.42 0.47 0.17 0.28 0.45 0.3 0.35 0.23 0.38 0.32 0.27 0.25 0.26 0.26 0.18 0.19 0.26 0.09 0.12 0.5 0.12 0.1 0.15 0.15 0.48 0.24 0.25 0.4 0.5 0.45 0.11 0.41 0.11 0.49 0.12 0.32 0.17 0.16 0.19 0.36 0.12 0.4 0.36 0.5 0.14 0.1 0.27 0.5 0.18 0.32 0.15 0.26 0.29 0.44 0.46 0.27 0.14 0.11 0.33 0.24 0.16 0.15 0.31 0.32 0.41 0.36 0.41 0.12 0.12 0.27 0.11 0.48 0.12 0.5 0.14 0.29 0.22 0.49 0.16 0.37 0.49 0.46 0.45 0.35 0.31 0.22 0.47 0.2 0.49 0.32 0.11 0.42 0.34 0.1 0.5 0.42 0.13 0.12 0.11 0.19 0.46 0.34 0.47 0.14 0.12 0.14 0.28 0.09 0.17 0.1 0.37 0.14 0.27 0.49 0.5 0.22 0.47 0.24 0.37 0.14 0.12 0.5 0.14 0.09 0.24 0.38 0.1 0.35 0.44 0.45 0.37 0.41 0.12 0.2 0.33 0.34 0.21 0.5 0.31 0.43 0.21 0.16 0.11 0.11 0.17 0.22 0.35 0.24 0.36 0.14 0.49 0.1 0.5 0.23 0.24 0.5 0.41 0.29 0.13 0.13 0.39 0.43 0.24 0.4 0.26 0.31 0.23 0.16 0.44 0.1 0.1 0.27 0.12 0.25 0.34 0.17 0.27 0.13 0.37 0.17 0.5 0.14 0.3 0.19 0.14 0.38 0.16 0.29 0.16 0.14 0.45 0.4 0.28 0.5 0.21 0.34 0.49 0.15 0.3 0.27 0.32 0.1 0.45 0.21 0.32 0.35 0.5 0.31 0.43 0.4 0.36 0.17 0.33 0.14 0.24 0.19 0.5 0.49 0.2 0.16 0.38 0.28 0.45 0.1 0.3 0.26 0.27 0.11 0.24 0.27 0.18 0.14 0.16 0.13 0.19 0.35 0.49 0.5 0.42 0.21 0.22 0.34 0.22 0.2 0.49 0.4 0.39 0.27 0.09 0.1 0.41 0.44 0.18 0.36 0.2 0.1 0.15 0.34 0.36 0.32 0.5 0.2 0.5 0.15 0.31 0.2 0.28 0.21 0.37 0.21 0.33 0.15 0.5 0.3 0.29 0.49 0.49 0.3 0.49 0.27 0.18 0.44 0.12 0.17 0.15 0.48 0.1 0.29 0.49 0.11 0.21 0.38 0.38 0.31 0.23 0.49 0.48 0.11 0.11 0.14 0.22 0.36 0.18 0.32 0.14 0.16 0.36 0.49 0.19 0.47 0.43 0.21 0.38 0.36 0.13 0.28 0.32 0.15 0.46 0.5 0.44 0.21 0.19 0.48 0.5 0.19 0.27 0.3 0.29 0.31 0.21 0.3 0.45 0.34 0.37 0.28 0.21 0.36 0.12 0.5 0.31 0.11 0.47 0.4 0.16 0.48 0.24 0.4 0.12 0.21 0.28 0.11 0.47 0.29 0.2 0.11 0.15 0.18 0.1 0.28 0.11 0.49 0.16 0.21 0.14 0.5 0.19 0.25 0.17 0.31 0.23 0.24 0.41 0.2 0.29 0.22 0.49 0.18 0.3 0.26 0.34 0.1 0.28 0.25 0.48 0.22 0.28 0.38 0.26 0.18 0.16 0.48 0.26 0.32 0.31 0.11 0.26 0.39 0.5 0.37 0.21 0.49 0.1 0.1 0.34 0.22 0.49 0.12 0.28 0.37 0.17 0.38 0.14 0.4 0.48 0.12 0.11 0.35 0.39 0.21 0.19 0.31 0.47 0.41 0.2 0.39 0.1 0.16 0.3 0.21 0.24 0.33 0.37 0.37 0.47 0.38 0.19 0.34 0.14 0.18 0.1 0.5 0.41 0.17 0.11 0.13 0.29 0.22 0.22 0.38 0.1 0.43 0.12 0.29 0.29 0.49 0.1 0.23 0.1 0.18 0.49 0.48 0.13 0.29 0.3 0.23 0.39 0.47 0.47 0.18 0.39 0.24 0.16 0.27 0.5 0.14 0.1 0.38 0.38 0.11 0.18 0.34 0.5 0.32 0.42 0.13 0.15 0.38 0.27 0.19 0.09 0.18 0.25 0.18 0.46 0.11 0.16 0.11 0.18 0.29 0.17 0.11 0.33 0.24 0.36 0.17 0.23 0.13 0.25 0.17 0.15 0.18 0.4 0.35 0.11 0.25 0.46 0.42 0.3 0.23 0.1 0.15 0.09 0.35 0.18 0.14 0.09 0.31 0.3 0.16 0.5 0.12 0.26 0.37 0.32 0.11 0.48 0.13 0.14 0.41 0.13 0.33 0.5 0.43 0.5 0.36 0.1 0.48 0.1 0.29 0.19 0.22 0.17 0.19 0.27 0.14 0.39 0.21 0.29 0.36 0.1 0.4 0.28 0.36 0.17 0.23 0.27 0.36 0.24 0.12 0.16 0.33 0.4 0.46 0.14 0.5 0.22 0.35 0.49 0.1 0.16 0.3 0.44 0.09 0.12 0.16 0.44 0.12 0.48 0.42 0.5 0.43 0.41 0.32 0.47 0.15 0.1 0.48 0.13 0.27 0.5 0.14 0.1 0.19 0.46 0.15 0.37 0.45 0.33 0.35 0.37 0.28 0.17 0.45 0.41 0.1 0.33 0.16 0.5 0.17 0.15 0.14 0.21 0.5 0.45 0.12 0.48 0.49 0.46 0.27 0.37 0.15 0.28 0.5 0.43 0.5 0.5 0.31 0.16 0.28 0.37 0.5 0.15 0.11 0.1 0.19 0.1 0.11 0.18 0.16 0.1 0.19 0.22 0.4 0.31 0.1 0.14 0.39 0.32 0.24 0.15 0.19 0.46 0.48 0.4 0.11 0.48 0.29 0.45 0.5 0.2 0.13 0.49 0.21 0.12 0.5 0.31 0.29 0.49 0.12 0.31 0.44 0.45 0.38 0.09 0.48 0.18 0.28 0.3 0.26 0.22 0.38 0.24 0.45 0.5 0.39 0.33 0.29 0.1 0.14 0.41 0.42 0.12 0.14 0.35 0.29 0.29 0.48 0.11 0.34 0.48 0.22 0.24 0.1 0.33 0.4 0.18 0.23 0.24 0.45 0.35 0.49 0.16 0.13 0.31 0.32 0.48 0.14 0.18 0.13 0.12 0.44 0.41 0.14 0.11 0.18 0.13 0.11 0.26 0.17 0.31 0.5 0.47 0.49 0.4 0.29 0.34 0.34 0.14 0.13 0.41 0.36 0.29 0.27 0.29 0.2 0.22 0.47 0.24 0.31 0.44 0.18 0.13 0.15 0.19 0.35 0.11 0.16 0.29 0.47 0.3 0.26 0.1 0.19 0.11 0.5 0.18 0.33 0.23 0.34 0.1 0.3 0.11 0.38 0.3 0.18 0.14 0.1 0.49 0.48 0.12 0.43 0.18 0.49 0.18 0.12 0.36 0.21 0.23 0.35 0.11 0.3 0.43 0.12 0.38 0.37 0.49 0.47 0.5 0.5 0.36 0.14 0.22 0.46 0.43 0.27 0.18 0.5 0.18 0.5 0.25 0.17 0.14 0.48 0.27 0.14 0.12 0.29 0.12 0.4 0.16 0.12 0.12 0.5 0.19 0.13 0.25 0.28 0.31 0.26 0.35 0.25 0.14 0.1 0.32 0.5 0.4 0.32 0.34 0.14 0.17 0.35 0.15 0.39 0.17 0.5 0.48 0.26 0.23 0.14 0.41 0.13 0.14 0.29 0.17 0.21 0.5 0.17 0.45 0.24 0.4 0.38 0.17 0.35 0.33 0.31 0.5 0.48 0.18 0.14 0.11 0.12 0.1 0.34 0.12 0.19 0.36 0.38 0.19 0.5 0.13 0.49 0.14 0.17 0.11 0.26 0.26 0.13 0.11 0.11 0.27 0.26 0.15 0.45 0.43 0.5 0.24 0.13 0.12 0.2 0.1 0.22 0.2 0.12 0.12 0.21 0.24 0.48 0.27 0.37 0.1 0.43 0.43 0.32 0.29 0.44 0.12 0.11 0.15 0.38 0.47 0.17 0.27 0.11 0.32 0.3 0.45 0.48 0.26 0.32 0.18 0.35 0.36 0.32 0.25 0.11 0.5 0.35 0.18 0.11 0.23 0.35 0.28 0.26 0.12 0.14 0.26 0.21 0.49 0.5 0.14 0.13 0.21 0.21 0.3 0.2 0.1 0.36 0.43 0.12 0.13 0.26 0.13 0.24 0.11 0.12 0.49 0.48 0.32 0.28 0.19 0.13 0.45 0.26 0.21 0.49 0.49 0.13 0.16 0.19 0.1 0.11 0.11 0.13 0.5 0.16 0.28 0.11 0.36 0.49 0.16 0.29 0.41 0.48 0.48 0.18 0.18 0.1 0.44 0.15 0.22 0.5 0.4 0.3 0.13 0.37 0.33 0.15 0.13 0.31 0.3 0.36 0.16 0.41 0.19 0.23 0.17 0.4 0.11 0.31 0.35 0.31 0.36 0.13 0.17 0.28 0.1 0.27 0.45 0.13 0.1 0.38 0.24 0.17 0.48 0.25 0.11 0.1 0.42 0.41 0.22 0.2 0.18 0.28 0.1 0.23 0.13 0.1 0.39 0.21 0.15 0.18 0.18 0.23 0.34 0.22 0.5 0.21 0.11 0.39 0.36 0.5 0.28 0.1 0.35 0.48 0.47 0.11 0.23 0.24 0.28 0.35 0.17 0.21 0.37 0.5 0.49 0.46 0.48 0.29 0.3 0.39 0.14 0.48 0.14 0.12 0.17 0.34 0.1 0.27 0.45 0.29 0.21 0.15 0.18 0.36 0.13 0.18 0.11 0.21 0.28 0.1 0.12 0.31 0.38 0.23 0.17 0.12 0.13 0.1 0.12 0.22 0.49 0.22 0.17 0.15 0.5 0.17 0.32 0.12 0.12 0.34 0.18 0.27 0.1 0.26 0.14 0.17 0.18 0.22 0.19 0.16 0.19 0.49 0.11 0.42 0.14 0.5 0.47 0.33 0.32 0.42 0.1 0.13 0.27 0.19 0.39 0.1 0.19 0.19 0.11 0.35 0.11 0.32 0.11 0.28 0.27 0.3 0.11 0.39 0.38 0.5 0.19 0.21 0.15 0.1 0.1 0.19 0.29 0.38 0.49 0.14 0.2 0.2 0.28 0.48 0.27 0.11 0.17 0.17 0.09 0.36 0.35 0.35 0.43 0.26 0.5 0.16 0.5 0.5 0.11 0.19 0.16 0.23 0.18 0.3 0.22 0.5 0.13 0.2 0.1 0.18 0.15 0.16 0.1 0.47 0.43 0.13 0.3 0.32 0.49 0.1 0.13 0.18 0.21 0.28 0.21 0.5 0.2 0.4 0.38 0.49 0.47 0.21 0.15 0.27 0.14 0.22 0.23 0.14 0.31 0.12 0.39 0.22 0.19 0.32 0.26 0.35 0.15 0.1 0.13 0.5 0.11 0.12 0.41 0.18 0.17 0.2 0.18 0.16 0.11 0.35 0.35 0.39 0.33 0.48 0.28 0.21 0.12 0.23 0.36 0.1 0.38 0.27 0.47 0.21 0.31 0.11 0.18 0.5 0.4 0.24 0.4 0.13 0.12 0.44 0.37 0.26 0.12 0.25 0.48 0.16 0.47 0.5 0.23 0.11 0.36 0.12 0.34 0.15 0.22 0.29 0.09 0.1 0.32 0.24 0.18 0.49 0.48 0.33 0.23 0.14 0.41 0.19 0.5 0.12 0.31 0.42 0.09 0.18 0.31 0.2 0.13 0.46 0.31 0.44 0.5 0.14 0.14 0.35 0.42 0.17 0.18 0.5 0.22 0.17 0.49 0.46 0.1 0.22 0.13 0.16 0.27 0.2 0.25 0.5 0.43 0.15 0.41 0.43 0.11 0.11 0.34 0.4 0.1 0.43 0.32 0.13 0.15 0.16 0.16 0.39 0.28 0.27 0.24 0.1 0.32 0.22 0.2 0.5 0.35 0.43 0.18 0.18 0.35 0.35 0.13 0.25 0.19 0.38 0.4 0.39 0.2 0.3 0.38 0.48 0.17 0.49 0.49 0.29 0.28 0.5 0.28 0.13 0.17 0.17 0.16 0.42 0.46 0.13 0.1 0.28 0.42 0.12 0.13 0.17 0.15 0.38 0.49 0.5 0.48 0.32 0.16 0.23 0.22 0.26 0.39 0.5 0.49 0.4 0.35 0.48 0.26 0.1 0.15 0.47 0.31 0.45 0.34 0.24 0.27 0.12 0.4 0.27 0.16 0.31 0.23 0.16 0.26 0.11 0.36 0.26 0.25 0.12 0.2 0.27 0.25 0.19 0.26 0.3 0.25 0.31 0.16 0.31 0.32 0.16 0.39 0.47 0.5 0.2 0.13 0.47 0.12 0.18 0.18 0.33 0.49 0.17 0.25 0.15 0.35 0.5 0.09 0.27 0.2 0.35 0.3 0.11 0.33 0.1 0.14 0.19 0.11 0.31 0.09 0.18 0.22 0.42 0.11 0.1 0.49 0.26 0.14 0.23 0.36 0.32 0.5 0.1 0.18 0.49 0.22 0.1 0.28 0.36 0.11 0.22 0.5 0.2 0.13 0.3 0.29 0.12 0.16 0.18 0.17 0.4 0.39 0.25 0.13 0.31 0.34 0.44 0.44 0.1 0.4 0.45 0.38 0.34 0.23 0.48 0.23 0.1 0.11 0.11 0.13 0.11 0.29 0.14 0.46 0.5 0.1 0.1 0.49 0.49 0.21 0.49 0.36 0.29 0.21 0.15 0.5 0.27 0.49 0.15 0.49 0.49 0.38 0.25 0.31 0.46 0.16 0.41plot(owl.het$Hobs,owl.het$Hexp, xlab="Hobs", ylab="Hexp",
main="Expected heterozygosity as a function of observed heterozygosity")
Fst
#Pairwise Fst using weir and cockerham fst in hierfstat
pairwise.WCfst(owl.loci, diploid = TRUE)## ORN ID ORS CA WY
## ORN NA 0.12039321 0.09561162 0.1522115 0.12857500
## ID 0.12039321 NA 0.13914055 0.1891212 0.01083156
## ORS 0.09561162 0.13914055 NA 0.1071208 0.14903532
## CA 0.15221149 0.18912122 0.10712085 NA 0.19143177
## WY 0.12857500 0.01083156 0.14903532 0.1914318 NA#population specific fst
betas(gen.owl,nboot=0, lim=c(0.025,0.975), diploid=TRUE, betaijT=FALSE)## $Hi
## Contig_75_43 Contig_101_122 Contig_176_44 Contig_222_14 Contig_335_78
## ORN 0.4945055 0.5333333 0.3250000 0.5454545 0.0000000
## ID 0.5210526 0.5238095 0.4155844 0.5384615 0.1731602
## ORS 0.4000000 0.5333333 0.3030303 0.5294118 0.1250000
## CA 0.4438122 0.5128205 0.4224751 0.5078236 0.1024182
## WY 0.5009539 0.4984424 0.3824424 0.5018868 0.1685251
## Contig_388_48 Contig_525_5 Contig_595_47 Contig_614_133 Contig_1086_17
## ORN 0.0000000 0.5274725 0.5000000 0.5454545 0.4583333
## ID 0.0000000 0.4848485 0.4705882 0.5263158 0.2684211
## ORS 0.0000000 0.2941176 0.5032680 0.4705882 0.5333333
## CA 0.0500000 0.1079365 0.4500000 0.4779516 0.2961538
## WY 0.1789267 0.5029129 0.4913016 0.4991597 0.2873594
## Contig_1783_42 Contig_1815_12 Contig_1900_13 Contig_1975_127 Contig_2045_15
## ORN 0.4945055 0.00000000 0.45833333 0.5000000 0.4848485
## ID 0.5064935 0.00000000 0.09090909 0.5238095 0.5000000
## ORS 0.5228758 0.00000000 0.12500000 0.5294118 0.5250000
## CA 0.5126984 0.50793651 0.17540323 0.5116279 0.3870968
## WY 0.4618849 0.04122807 0.00000000 0.4982606 0.3657143
## Contig_2079_41 Contig_2129_20 Contig_2569_8 Contig_2687_4 Contig_2708_12
## ORN 0.5384615 0.14285714 0.5333333 0.4848485 0.0000000
## ID 0.5194805 0.09090909 0.5238095 0.4155844 0.0000000
## ORS 0.5250000 0.14285714 0.5294118 0.4000000 0.0000000
## CA 0.3044397 0.00000000 0.5116279 0.4705882 0.0500000
## WY 0.5034921 0.14437781 0.5036472 0.3207547 0.1642913
## Contig_2763_40 Contig_3128_5 Contig_3243_14 Contig_3252_50 Contig_3253_118
## ORN 0.2333333 0.1250000 0.5384615 0.3626374 0.0000000
## ID 0.4848485 0.2467532 0.5194805 0.2467532 0.4421053
## ORS 0.3250000 0.0000000 0.5228758 0.2091503 0.0000000
## CA 0.1024182 0.0000000 0.5116279 0.0000000 0.0000000
## WY 0.4977778 0.3692085 0.5019367 0.1107843 0.4425397
## Contig_3364_14 Contig_3505_28 Contig_4882_22 Contig_4932_44 Contig_5062_60
## ORN 0.5384615 0.14285714 0.0000000 0.1250000 0.4000000
## ID 0.5238095 0.24675325 0.3679654 0.2467532 0.4789474
## ORS 0.5294118 0.53846154 0.1111111 0.4248366 0.4000000
## CA 0.5128205 0.14935989 0.0000000 0.3159117 0.4965517
## WY 0.5043860 0.06102362 0.3877185 0.2766179 0.4729730
## Contig_5139_61 Contig_5192_68 Contig_5354_4 Contig_5385_9 Contig_5605_112
## ORN 0.1428571 0.5250000 0.0000000 0.1428571 0.5454545
## ID 0.4421053 0.5238095 0.0000000 0.2467532 0.4789474
## ORS 0.1428571 0.5294118 0.0000000 0.0000000 0.5000000
## CA 0.0000000 0.4779516 0.3857143 0.0000000 0.5000000
## WY 0.4733010 0.4856389 0.2496562 0.3430368 0.4897311
## Contig_5710_68 Contig_5783_116 Contig_6053_120 Contig_6293_76
## ORN 0.00000000 0.5333333 0.4000000 0.0000000
## ID 0.00000000 0.5238095 0.4545455 0.3660131
## ORS 0.00000000 0.5294118 0.0000000 0.1250000
## CA 0.39829303 0.5110337 0.4307692 0.0000000
## WY 0.02758353 0.4968944 0.3208333 0.2203704
## Contig_6339_106 Contig_6384_87 Contig_6436_84 Contig_6543_121 Contig_6855_9
## ORN 0.12500000 0.1428571 0.4945055 0.4395604 0.5333333
## ID 0.20915033 0.1894737 0.0000000 0.2467532 0.5294118
## ORS 0.00000000 0.0000000 0.4848485 0.5274725 0.5294118
## CA 0.04545455 0.0000000 0.4779516 0.5007112 0.5076923
## WY 0.18202247 0.1668057 0.1816514 0.2432323 0.4667124
## Contig_6898_6 Contig_6988_53 Contig_7006_80 Contig_7276_52 Contig_7406_7
## ORN 0.4000000 0.1666667 0.45833333 0.4090909 0.4848485
## ID 0.3116883 0.4421053 0.09090909 0.5194805 0.2467532
## ORS 0.0000000 0.5250000 0.42483660 0.4945055 0.0000000
## CA 0.0000000 0.4779516 0.45977011 0.4126984 0.0000000
## WY 0.1851462 0.3310345 0.01612903 0.2313725 0.2061240
## Contig_7822_75 Contig_8095_30 Contig_8483_22 Contig_8605_79 Contig_8646_67
## ORN 0.1428571 0.0000000 0.4000000 0.5333333 0.52500000
## ID 0.3368421 0.1731602 0.3679654 0.3116883 0.17316017
## ORS 0.4583333 0.0000000 0.5250000 0.4583333 0.40000000
## CA 0.2845528 0.2243590 0.5078236 0.3159117 0.18461538
## WY 0.3536388 0.1291011 0.4539007 0.2013465 0.01538462
## Contig_8763_57 Contig_8980_99 Contig_9359_23 Contig_9734_42 Contig_10122_21
## ORN 0.5274725 0.53333333 0.50000000 0.3030303 0.1250000
## ID 0.3368421 0.10000000 0.09090909 0.1731602 0.2467532
## ORS 0.4583333 0.52747253 0.47058824 0.5384615 0.0000000
## CA 0.2139037 0.23470839 0.27311522 0.5126984 0.2615385
## WY 0.3957529 0.06196825 0.09142857 0.1202669 0.1115468
## Contig_10128_21 Contig_10275_46 Contig_10483_39 Contig_10723_32
## ORN 0.1250000 0.5000000 0.1250000 0.2333333
## ID 0.4545455 0.3679654 0.0000000 0.4155844
## ORS 0.3660131 0.1250000 0.3660131 0.2941176
## CA 0.2410148 0.0000000 0.4059197 0.2347084
## WY 0.2630719 0.4315290 0.0000000 0.3860477
## Contig_11207_132 Contig_11250_16 Contig_11318_36 Contig_11800_61
## ORN 0.0000000 0.1250000 0.0000000 0.0000000
## ID 0.0000000 0.2684211 0.1731602 0.3116883
## ORS 0.4248366 0.1428571 0.2941176 0.0000000
## CA 0.3712660 0.2347084 0.5012821 0.0000000
## WY 0.0000000 0.2414330 0.2452381 0.2314465
## Contig_12030_94 Contig_12048_99 Contig_12234_74 Contig_12435_5
## ORN 0.32500000 0.1428571 0.00000000 0.0000000
## ID 0.17316017 0.0000000 0.09090909 0.0000000
## ORS 0.00000000 0.2637363 0.11111111 0.0000000
## CA 0.17653891 0.4224751 0.40897436 0.0000000
## WY 0.03808813 0.0000000 0.04915966 0.3381656
## Contig_12440_87 Contig_12580_21 Contig_12698_47 Contig_13112_14
## ORN 0.2637363 0.0000000 0.5274725 1.0000000
## ID 0.4848485 0.0000000 0.1000000 0.4248366
## ORS 0.5250000 0.0000000 0.0000000 0.2333333
## CA 0.0500000 0.3857143 0.4224751 0.1358885
## WY 0.4335586 0.0000000 0.0000000 0.2471042
## Contig_13378_56 Contig_13772_80 Contig_14203_82 Contig_14369_41
## ORN 0.2333333 0.5333333 0.00 0.5250000
## ID 0.4545455 0.5238095 0.00 0.5210526
## ORS 0.5250000 0.5294118 0.00 0.5294118
## CA 0.2460317 0.5128205 0.45 0.1691332
## WY 0.3629287 0.5041979 0.00 0.4968173
## Contig_14418_18 Contig_14772_111 Contig_15299_45 Contig_15438_100
## ORN 0.0000000 0.2333333 0.2000000 0.2637363
## ID 0.0000000 0.3116883 0.4395604 0.0000000
## ORS 0.0000000 0.3250000 0.3555556 0.1111111
## CA 0.4278075 0.2410148 0.0000000 0.0000000
## WY 0.0000000 0.4221086 0.3165290 0.1377862
## Contig_15565_17 Contig_15671_20 Contig_15979_116 Contig_16009_35
## ORN 0.3626374 0.3626374 0.3030303 0.4583333
## ID 0.0000000 0.0000000 0.1000000 0.1731602
## ORS 0.0000000 0.0000000 0.1428571 0.5294118
## CA 0.0000000 0.4224751 0.2148664 0.0000000
## WY 0.2210526 0.2376981 0.1696089 0.1589205
## Contig_16772_49 Contig_16789_115 Contig_17417_44 Contig_17848_28
## ORN 0.12500000 0.52500000 0.52500000 0.1428571
## ID 0.09090909 0.09090909 0.00000000 0.4421053
## ORS 0.42483660 0.50000000 0.20915033 0.0000000
## CA 0.50754936 0.38461538 0.05882353 0.0000000
## WY 0.04346405 0.16379526 0.00000000 0.3168061
## Contig_17960_127 Contig_18510_77 Contig_19053_90 Contig_19109_15
## ORN 0.12500000 0.5454545 0.4945055 0.5303030
## ID 0.00000000 0.5000000 0.4848485 0.4155844
## ORS 0.50326797 0.5384615 0.1250000 0.4248366
## CA 0.32222222 0.5012821 0.1765389 0.5079365
## WY 0.03539254 0.4508962 0.4409586 0.2232073
## Contig_19202_8 Contig_19266_54 Contig_19500_10 Contig_19608_25
## ORN 0.2637363 0.2637363 0.5274725 0.5000000
## ID 0.1731602 0.3368421 0.4421053 0.4848485
## ORS 0.0000000 0.0000000 0.4248366 0.5294118
## CA 0.1934566 0.0000000 0.4260042 0.5080460
## WY 0.2271364 0.3785047 0.3953242 0.4952381
## Contig_19903_111 Contig_20114_60 Contig_20117_79 Contig_20649_108
## ORN 0.12500000 0.4395604 0.0000000 0.2637363
## ID 0.24675325 0.2467532 0.3679654 0.0000000
## ORS 0.23333333 0.5333333 0.0000000 0.2941176
## CA 0.04761905 0.1493599 0.0000000 0.3449477
## WY 0.18129496 0.3779528 0.3886869 0.0000000
## Contig_20960_14 Contig_20985_18 Contig_21321_52 Contig_21512_66
## ORN 0.5384615 0.1250000 0.4945055 0.12500000
## ID 0.5238095 0.0000000 0.5333333 0.09090909
## ORS 0.4583333 0.1250000 0.5032680 0.00000000
## CA 0.5110337 0.2410148 0.5110337 0.05555556
## WY 0.4958730 0.1561121 0.4894454 0.10978342
## Contig_21680_21 Contig_21684_73 Contig_21785_33 Contig_22329_24
## ORN 0.5303030 0.1250000 0.53333333 0.5384615
## ID 0.4789474 0.2467532 0.52941176 0.5238095
## ORS 0.5032680 0.0000000 0.40909091 0.5333333
## CA 0.4126984 0.0000000 0.05555556 0.5121951
## WY 0.4739947 0.1759044 0.50054339 0.5046192
## Contig_22530_105 Contig_22600_12 Contig_22858_22 Contig_22961_78
## ORN 0.0000000 0.0000000 0.1428571 0.5250000
## ID 0.1731602 0.0000000 0.3116883 0.5064935
## ORS 0.4705882 0.0000000 0.0000000 0.4248366
## CA 0.5076923 0.4224751 0.2243590 0.4552846
## WY 0.2330532 0.0000000 0.3183848 0.4048304
## Contig_23210_27 Contig_23352_9 Contig_23566_46 Contig_23710_72
## ORN 0.5333333 0.0000000 0.1428571 0.32500000
## ID 0.5238095 0.0000000 0.2467532 0.24675325
## ORS 0.5294118 0.0000000 0.5032680 0.00000000
## CA 0.5115385 0.0000000 0.4779516 0.13588850
## WY 0.5034965 0.1813953 0.4003336 0.05366084
## Contig_23725_40 Contig_24142_24 Contig_24251_52 Contig_24265_76
## ORN 0.5384615 0.2333333 0.5333333 0.0000000
## ID 0.5238095 0.4421053 0.5238095 0.0000000
## ORS 0.5228758 0.3660131 0.5294118 0.0000000
## CA 0.4947146 0.5120910 0.5076923 0.0000000
## WY 0.5019608 0.2050439 0.4985822 0.3738115
## Contig_24346_38 Contig_24366_27 Contig_24386_30 Contig_24449_118
## ORN 0.5274725 0.5333333 0.5000000 0.4285714
## ID 0.4545455 0.5238095 0.5052632 0.0000000
## ORS 0.5032680 0.5333333 0.5228758 0.3030303
## CA 0.5135135 0.4807692 0.4181185 0.2258065
## WY 0.4225168 0.5030859 0.5007452 0.1705056
## Contig_24688_79 Contig_25102_24 Contig_25283_22 Contig_25295_7
## ORN 0.0000000 0.3030303 0.3626374 0.5250000
## ID 0.1000000 0.1428571 0.4421053 0.5263158
## ORS 0.1250000 0.3555556 0.0000000 0.3626374
## CA 0.0000000 0.3042328 0.0000000 0.3368984
## WY 0.2364189 0.2571429 0.4797508 0.4944483
## Contig_25336_23 Contig_25401_39 Contig_25660_24 Contig_25694_27
## ORN 0.5303030 0.5555556 0.2333333 0.1428571
## ID 0.4421053 0.4421053 0.4848485 0.1894737
## ORS 0.5032680 0.5303030 0.5250000 0.2637363
## CA 0.5079365 0.0000000 0.2737844 0.2731152
## WY 0.4374533 0.4131187 0.5034449 0.2722008
## Contig_25905_62 Contig_25932_12 Contig_25941_83 Contig_25977_88
## ORN 0.2333333 0.5333333 0.5274725 0.0000000
## ID 0.0000000 0.5210526 0.3679654 0.5064935
## ORS 0.5294118 0.3626374 0.4945055 0.0000000
## CA 0.0000000 0.5007112 0.1846154 0.0000000
## WY 0.0000000 0.4855368 0.2277605 0.4292026
## Contig_26005_104 Contig_26189_36 Contig_26200_115 Contig_26355_115
## ORN 0.3250000 0.0000000 0.4090909 0.66666667
## ID 0.5194805 0.1731602 0.4848485 0.24675325
## ORS 0.3250000 0.4583333 0.1111111 0.26373626
## CA 0.3712660 0.4907539 0.0000000 0.08879493
## WY 0.4748580 0.1139394 0.4974936 0.23917686
## Contig_26987_55 Contig_27270_108 Contig_27411_6 Contig_27830_41
## ORN 0.5000000 0.4090909 0.0000000 0.30303030
## ID 0.3679654 0.0000000 0.0000000 0.17316017
## ORS 0.0000000 0.3626374 0.0000000 0.42483660
## CA 0.3282051 0.4923077 0.4571429 0.34494774
## WY 0.3684848 0.0000000 0.0000000 0.09284028
## Contig_28018_53 Contig_28052_100 Contig_28154_18 Contig_28185_6
## ORN 0.40000000 0.5000000 0.0000000 0.0000000
## ID 0.00000000 0.1731602 0.0000000 0.1731602
## ORS 0.52500000 0.1111111 0.3660131 0.0000000
## CA 0.50782361 0.4831591 0.4059197 0.0000000
## WY 0.06498599 0.1712598 0.1202669 0.4019888
## Contig_28213_92 Contig_28599_25 Contig_29063_96 Contig_29146_58
## ORN 0.0000000 0.5274725 0.0000000 0.5333333
## ID 0.2467532 0.5052632 0.2467532 0.5238095
## ORS 0.1250000 0.5032680 0.0000000 0.5294118
## CA 0.4735729 0.4746032 0.0974359 0.5110337
## WY 0.1085303 0.4255166 0.2172507 0.5034943
## Contig_29218_73 Contig_29387_48 Contig_29451_3 Contig_29528_88
## ORN 0.4000000 0.2333333 0.2333333 0.0000000
## ID 0.3679654 0.5064935 0.2467532 0.0000000
## ORS 0.0000000 0.4395604 0.0000000 0.1666667
## CA 0.0000000 0.1423077 0.0000000 0.4705882
## WY 0.3070866 0.4039575 0.1696814 0.0000000
## Contig_29775_128 Contig_30342_35 Contig_30371_40 Contig_30735_60
## ORN 0.52500000 0.2000000 0.2637363 0.3626374
## ID 0.09090909 0.1250000 0.4789474 0.1894737
## ORS 0.36601307 0.2637363 0.0000000 0.4000000
## CA 0.05000000 0.2994652 0.0000000 0.1691332
## WY 0.30460367 0.2616050 0.3249495 0.2921786
## Contig_30850_70 Contig_30856_51 Contig_30969_98 Contig_31228_8
## ORN 0.32500000 0.2637363 0.4395604 0.0000000
## ID 0.09090909 0.3368421 0.1731602 0.4848485
## ORS 0.16666667 0.0000000 0.4248366 0.2091503
## CA 0.00000000 0.0000000 0.4378630 0.4365079
## WY 0.10180737 0.3552243 0.3597169 0.3368185
## Contig_31271_16 Contig_31327_80 Contig_31335_25 Contig_31491_56
## ORN 0.50000000 0.4395604 0.2637363 0.2637363
## ID 0.00000000 0.5064935 0.4545455 0.4155844
## ORS 0.20915033 0.5000000 0.0000000 0.2333333
## CA 0.33298097 0.4224751 0.0000000 0.0000000
## WY 0.09314297 0.3994721 0.3381656 0.3938565
## Contig_31872_128 Contig_32156_37 Contig_32318_67 Contig_32356_50
## ORN 0.4583333 0.3030303 0.0000000 0.0000000
## ID 0.3116883 0.0000000 0.1731602 0.2941176
## ORS 0.4248366 0.0000000 0.4848485 0.0000000
## CA 0.2139037 0.1423077 0.1846154 0.0000000
## WY 0.2980626 0.2765122 0.2048503 0.2724902
## Contig_32556_85 Contig_33505_25 Contig_33600_75 Contig_34015_108
## ORN 0.52500000 0.5454545 0.4395604 0.5333333
## ID 0.09090909 0.1731602 0.1731602 0.5238095
## ORS 0.50000000 0.4248366 0.5000000 0.5294118
## CA 0.45977011 0.1300211 0.5079365 0.5116279
## WY 0.05082459 0.2801120 0.1073958 0.5034483
## Contig_34302_32 Contig_34326_73 Contig_34550_42 Contig_34673_3
## ORN 0.5333333 0.5384615 0.0000000 0.5384615
## ID 0.5194805 0.5194805 0.1731602 0.5238095
## ORS 0.5294118 0.5032680 0.0000000 0.5294118
## CA 0.5116279 0.5075494 0.0000000 0.5115385
## WY 0.5010050 0.5026721 0.2234921 0.5031153
## Contig_34941_43 Contig_35093_59 Contig_35568_45 Contig_35726_6
## ORN 0.36263736 0.52747253 0.1250000 0.36263736
## ID 0.11111111 0.36796537 0.2467532 0.11111111
## ORS 0.29411765 0.50326797 0.1666667 0.14285714
## CA 0.47058824 0.37126600 0.1765389 0.08879493
## WY 0.09895052 0.08408982 0.1377862 0.18922109
## Contig_35745_55 Contig_35787_35 Contig_35887_29 Contig_36254_71
## ORN 0.3250000 0.4848485 0.4090909 0.0000000
## ID 0.4155844 0.3947368 0.0000000 0.3116883
## ORS 0.2091503 0.4395604 0.3250000 0.2941176
## CA 0.5017422 0.4260042 0.3086771 0.0000000
## WY 0.4582734 0.3115468 0.3333333 0.2798054
## Contig_36472_36 Contig_36609_48 Contig_36635_43 Contig_37162_97
## ORN 0.1250000 0.00000000 0.43956044 0.0000000
## ID 0.4848485 0.33684211 0.41558442 0.0000000
## ORS 0.0000000 0.11111111 0.00000000 0.4705882
## CA 0.0000000 0.05263158 0.09291521 0.3716609
## WY 0.4714921 0.28037383 0.45801158 0.0000000
## Contig_37573_39 Contig_37614_37 Contig_38665_18 Contig_39055_47
## ORN 0.2333333 0.0000000 0.5250000 0.2637363
## ID 0.1894737 0.0000000 0.4155844 0.5064935
## ORS 0.1250000 0.0000000 0.4248366 0.2333333
## CA 0.3086771 0.4438122 0.2845528 0.0000000
## WY 0.3657143 0.0000000 0.4466667 0.2305543
## Contig_39228_76 Contig_39299_5 Contig_40685_11 Contig_40973_19
## ORN 0.46666667 0.1250000 0.0000000 0.0000000
## ID 0.36796537 0.4155844 0.4155844 0.4395604
## ORS 0.12500000 0.2333333 0.2091503 0.4666667
## CA 0.05263158 0.0000000 0.0000000 0.3712660
## WY 0.39069970 0.1139394 0.2945175 0.4632477
## Contig_41082_47 Contig_41173_104 Contig_41555_90 Contig_41718_79
## ORN 0.00000000 0.1250000 0.1250000 0.40000000
## ID 0.09090909 0.5238095 0.0000000 0.11111111
## ORS 0.00000000 0.0000000 0.5294118 0.00000000
## CA 0.04761905 0.0000000 0.4623044 0.13002114
## WY 0.17860610 0.4812356 0.0000000 0.08053221
## Contig_42237_51 Contig_42353_80 Contig_43041_14 Contig_43083_46
## ORN 0.4090909 0.12500000 0.53846154 0.5303030
## ID 0.1731602 0.18947368 0.00000000 0.5194805
## ORS 0.0000000 0.42483660 0.42483660 0.5384615
## CA 0.5126984 0.24101480 0.05263158 0.3222222
## WY 0.1943312 0.09005906 0.00000000 0.4272957
## Contig_43399_87 Contig_43937_25 Contig_43939_21 Contig_43957_66
## ORN 0.4090909 0.5384615 0.0000000 0.0000000
## ID 0.5250000 0.5238095 0.2684211 0.0000000
## ORS 0.5303030 0.5294118 0.0000000 0.0000000
## CA 0.4807692 0.5135135 0.1934566 0.1846154
## WY 0.4805009 0.5048544 0.0768254 0.2109228
## Contig_44050_95 Contig_44376_60 Contig_44486_14 Contig_44532_36
## ORN 0.0000000 0.2333333 0.000000 0.26373626
## ID 0.3116883 0.3679654 0.000000 0.09090909
## ORS 0.0000000 0.2333333 0.000000 0.12500000
## CA 0.0000000 0.0000000 0.000000 0.48315912
## WY 0.1936792 0.3109091 0.181295 0.29188014
## Contig_44808_96 Contig_44811_54 Contig_45383_33 Contig_45419_17
## ORN 0.5250000 0.3250000 0.0000000 0.4000000
## ID 0.3368421 0.3116883 0.2684211 0.0000000
## ORS 0.2091503 0.4000000 0.0000000 0.1111111
## CA 0.0000000 0.4224751 0.0000000 0.4666667
## WY 0.4575526 0.2807018 0.3268144 0.1788376
## Contig_45507_53 Contig_45609_23 Contig_45678_128 Contig_45749_99
## ORN 0.5250000 0.4945055 0.00000000 0.3626374
## ID 0.3116883 0.5064935 0.00000000 0.0000000
## ORS 0.4945055 0.4945055 0.00000000 0.4395604
## CA 0.3982930 0.4831591 0.39605110 0.2615385
## WY 0.2265932 0.5036472 0.01449275 0.0000000
## Contig_45938_42 Contig_46960_4 Contig_46983_47 Contig_47629_9
## ORN 0.5250000 0.5303030 0.0000000 0.12500000
## ID 0.5052632 0.5238095 0.4155844 0.20915033
## ORS 0.5333333 0.5384615 0.0000000 0.14285714
## CA 0.5172414 0.5080645 0.0000000 0.08879493
## WY 0.5018671 0.4114286 0.3898710 0.31471282
## Contig_47840_83 Contig_48223_28 Contig_48299_37 Contig_48346_37
## ORN 0.5333333 0.5333333 0.5454545 0.5250000
## ID 0.3660131 0.5238095 0.2467532 0.4848485
## ORS 0.5000000 0.5294118 0.5032680 0.4248366
## CA 0.0000000 0.5135135 0.3282051 0.0000000
## WY 0.3881628 0.4840336 0.2761389 0.5017883
## Contig_48840_22 Contig_48980_87 Contig_49404_10 Contig_49510_49
## ORN 0.00000000 0.32500000 0.0000000 0.36263736
## ID 0.00000000 0.09090909 0.2091503 0.24675325
## ORS 0.40000000 0.32500000 0.4395604 0.00000000
## CA 0.35555556 0.09291521 0.3413940 0.09291521
## WY 0.07331536 0.14599107 0.3465160 0.10781671
## Contig_49518_20 Contig_49629_95 Contig_49739_23 Contig_49877_34
## ORN 0.2637363 0.5303030 0.5333333 0.5384615
## ID 0.3368421 0.3679654 0.5064935 0.5263158
## ORS 0.2091503 0.4583333 0.5333333 0.5333333
## CA 0.2845528 0.4888889 0.4936121 0.5076923
## WY 0.3932087 0.2207207 0.5043131 0.4868451
## Contig_50480_16 Contig_50862_48 Contig_51444_5 Contig_51553_83
## ORN 0.52500000 0.0000000 0.0000000 0.1250000
## ID 0.00000000 0.1731602 0.2684211 0.1111111
## ORS 0.52287582 0.1111111 0.0000000 0.4248366
## CA 0.51057082 0.0500000 0.0000000 0.4666667
## WY 0.04613681 0.1606349 0.2271364 0.0000000
## Contig_51871_128 Contig_52640_87 Contig_53042_70 Contig_53575_11
## ORN 0.0000000 0.0000000 0.4583333 0.0000000
## ID 0.2467532 0.4789474 0.0000000 0.2684211
## ORS 0.0000000 0.0000000 0.5384615 0.1428571
## CA 0.0000000 0.0500000 0.4224751 0.2243590
## WY 0.2890217 0.4227865 0.0000000 0.4208315
## Contig_53680_73 Contig_53741_33 Contig_53854_72 Contig_54840_17
## ORN 0.4848485 0.26373626 0.5250000 0.0000000
## ID 0.5250000 0.00000000 0.3116883 0.1894737
## ORS 0.5384615 0.23333333 0.2941176 0.2941176
## CA 0.5007112 0.30423280 0.4705882 0.0000000
## WY 0.4962433 0.06196825 0.2172507 0.1629950
## Contig_55815_33 Contig_56178_11 Contig_56615_125 Contig_56977_21
## ORN 0.00000000 0.12500000 0.0000000 0.0000000
## ID 0.17316017 0.26842105 0.2467532 0.1731602
## ORS 0.00000000 0.11111111 0.0000000 0.2091503
## CA 0.05263158 0.08879493 0.0000000 0.1024182
## WY 0.21142857 0.12852665 0.1765234 0.1851462
## Contig_57416_92 Contig_57889_17 Contig_58217_108 Contig_58304_5
## ORN 0.14285714 0.0000000 0.00000000 0.5333333
## ID 0.09090909 0.0000000 0.09090909 0.5194805
## ORS 0.43956044 0.2941176 0.00000000 0.5333333
## CA 0.14230769 0.4089744 0.00000000 0.5120910
## WY 0.13151515 0.0000000 0.23344321 0.4813385
## Contig_58315_20 Contig_58328_7 Contig_58414_98 Contig_59135_10
## ORN 0.5357143 0.5384615 0.0000000 0.5274725
## ID 0.3660131 0.5263158 0.4789474 0.5052632
## ORS 0.1250000 0.5294118 0.2000000 0.5333333
## CA 0.4838710 0.4735729 0.0974359 0.4307692
## WY 0.2571429 0.5019527 0.4862282 0.4602357
## Contig_59259_120 Contig_59320_3 Contig_59334_70 Contig_59398_101
## ORN 0.0000000 0.3626374 0.5274725 0.3250000
## ID 0.3368421 0.4155844 0.5064935 0.0000000
## ORS 0.0000000 0.4248366 0.4000000 0.5250000
## CA 0.0000000 0.1024182 0.5012821 0.3846154
## WY 0.2207207 0.3129719 0.2088767 0.0000000
## Contig_59578_27 Contig_59658_11 Contig_59660_37 Contig_59828_67
## ORN 0.0000000 0.3030303 0.0000000 0.4583333
## ID 0.0000000 0.3368421 0.0000000 0.5194805
## ORS 0.0000000 0.2941176 0.0000000 0.5250000
## CA 0.4365079 0.3222222 0.1024182 0.2615385
## WY 0.0000000 0.2831155 0.1629950 0.5041739
## Contig_59870_4 Contig_59899_62 Contig_60371_108 Contig_61358_4
## ORN 0.4583333 0.1250000 0.5000000 0.2637363
## ID 0.1731602 0.5052632 0.3679654 0.0000000
## ORS 0.0000000 0.2941176 0.3660131 0.0000000
## CA 0.0000000 0.5012821 0.4278075 0.0000000
## WY 0.3689858 0.5032680 0.1977778 0.1755041
## Contig_61573_124 Contig_62244_21 Contig_62424_8 Contig_62508_7
## ORN 0.0000000 0.0000000 0.3250000 0.3626374
## ID 0.3679654 0.1731602 0.1731602 0.3679654
## ORS 0.0000000 0.0000000 0.5032680 0.3250000
## CA 0.0000000 0.0000000 0.0000000 0.5105708
## WY 0.3045867 0.4021008 0.2836349 0.3391572
## Contig_63386_24 Contig_63489_21 Contig_63529_52 Contig_63720_124
## ORN 0.1666667 0.4395604 0.3626374 0.0000000
## ID 0.3250000 0.5064935 0.5228758 0.2467532
## ORS 0.0000000 0.5000000 0.1666667 0.0000000
## CA 0.1657754 0.4623044 0.4500000 0.0000000
## WY 0.4359571 0.4935964 0.4867925 0.1235605
## Contig_63824_21 Contig_64040_73 Contig_64074_36 Contig_64115_44
## ORN 0.00000000 0.3626374 0.0000000 0.0000000
## ID 0.00000000 0.5194805 0.0000000 0.5064935
## ORS 0.00000000 0.0000000 0.3660131 0.0000000
## CA 0.05263158 0.1358885 0.0000000 0.1140820
## WY 0.19975031 0.4991597 0.3634246 0.4033242
## Contig_64142_115 Contig_64224_16 Contig_64334_70 Contig_64496_3
## ORN 0.1428571 0.5333333 0.0000000 0.3030303
## ID 0.1731602 0.5238095 0.1731602 0.1000000
## ORS 0.2333333 0.5294118 0.1111111 0.2333333
## CA 0.0000000 0.5116279 0.0500000 0.4010695
## WY 0.2536242 0.5034483 0.2340734 0.1517410
## Contig_65015_97 Contig_65417_24 Contig_65762_101 Contig_65824_11
## ORN 0.4000000 0.0000000 0.4000000 0.4395604
## ID 0.3116883 0.0000000 0.2467532 0.5064935
## ORS 0.4945055 0.2333333 0.2091503 0.5250000
## CA 0.3368984 0.4936121 0.0000000 0.1024182
## WY 0.3738115 0.0000000 0.1318550 0.2935352
## Contig_65850_57 Contig_65852_19 Contig_65956_33 Contig_66020_10
## ORN 0.0000000 0.3250000 0.4848485 0.30303030
## ID 0.0000000 0.4848485 0.0000000 0.09090909
## ORS 0.0000000 0.4705882 0.5303030 0.00000000
## CA 0.4181185 0.0500000 0.2410148 0.00000000
## WY 0.0000000 0.4634207 0.1357199 0.14913127
## Contig_66083_70 Contig_66268_64 Contig_66321_130 Contig_66528_91
## ORN 0.5250000 0.00000000 0.5000000 0.2637363
## ID 0.5238095 0.00000000 0.5194805 0.5052632
## ORS 0.5294118 0.30303030 0.5228758 0.1111111
## CA 0.5105708 0.48888889 0.2857143 0.1493599
## WY 0.5033994 0.01785714 0.3430368 0.4144884
## Contig_66532_41 Contig_67149_67 Contig_67549_29 Contig_67550_58
## ORN 0.0000000 0.4395604 0.5250000 0.3626374
## ID 0.3368421 0.3116883 0.4848485 0.2467532
## ORS 0.0000000 0.3250000 0.1111111 0.4395604
## CA 0.3413940 0.2845528 0.0625000 0.0974359
## WY 0.1408805 0.3206349 0.4902066 0.3570175
## Contig_67908_20 Contig_68138_41 Contig_68225_78 Contig_68317_116
## ORN 0.3626374 0.1250000 0.1250000 0.1250000
## ID 0.3947368 0.1894737 0.3116883 0.4848485
## ORS 0.2637363 0.0000000 0.5032680 0.0000000
## CA 0.0000000 0.0000000 0.4126984 0.0000000
## WY 0.2842664 0.2523238 0.3045867 0.4944884
## Contig_68585_70 Contig_68609_114 Contig_68995_114 Contig_69203_78
## ORN 0.4090909 0.40000000 0.40000000 0.26373626
## ID 0.3116883 0.09090909 0.00000000 0.09090909
## ORS 0.0000000 0.50326797 0.49450549 0.32500000
## CA 0.0000000 0.26153846 0.46230441 0.00000000
## WY 0.1023166 0.23662281 0.01923077 0.16887299
## Contig_69281_102 Contig_69336_7 Contig_69766_34 Contig_69836_87
## ORN 0.1428571 0.5274725 0.5384615 0.32500000
## ID 0.5064935 0.5064935 0.5194805 0.10000000
## ORS 0.2091503 0.2941176 0.5294118 0.36601307
## CA 0.3716609 0.1765389 0.5105708 0.47058824
## WY 0.4683473 0.4733010 0.5036496 0.04039554
## Contig_70842_54 Contig_71612_71 Contig_71699_26 Contig_71941_104
## ORN 0.5333333 0.4395604 0.5384615 0.4848485
## ID 0.4848485 0.3679654 0.5210526 0.4421053
## ORS 0.5274725 0.3250000 0.5333333 0.4945055
## CA 0.3857143 0.5105708 0.5076923 0.5115385
## WY 0.4950809 0.1767677 0.4624076 0.4663428
## Contig_72233_78 Contig_72266_19 Contig_72437_15 Contig_72492_130
## ORN 0.3250000 0.5714286 0.5454545 0.5555556
## ID 0.1731602 0.2091503 0.4848485 0.4248366
## ORS 0.5000000 0.5454545 0.4000000 0.4000000
## CA 0.4746032 0.0000000 0.4089744 0.4181185
## WY 0.1943312 0.2864998 0.4884170 0.4556645
## Contig_72553_81 Contig_72780_125 Contig_72914_74 Contig_73672_8
## ORN 0.2500000 0.4945055 0.0000000 0.3250000
## ID 0.1731602 0.3679654 0.3116883 0.3679654
## ORS 0.1428571 0.1428571 0.0000000 0.4395604
## CA 0.1934566 0.2615385 0.0000000 0.4666667
## WY 0.1147351 0.3090746 0.2762302 0.4392588
## Contig_73769_96 Contig_74366_78 Contig_74993_38 Contig_75074_11
## ORN 0.12500000 0.00000000 0.5333333 0.1428571
## ID 0.09090909 0.24675325 0.5194805 0.4155844
## ORS 0.00000000 0.23333333 0.5555556 0.3250000
## CA 0.00000000 0.22435897 0.5133690 0.0000000
## WY 0.21409295 0.09429617 0.5042695 0.4612697
## Contig_75121_15 Contig_75248_81 Contig_75460_21 Contig_75585_85
## ORN 0.3626374 0.5454545 0.00000000 0.4945055
## ID 0.4545455 0.4155844 0.09090909 0.0000000
## ORS 0.3250000 0.5250000 0.26373626 0.1250000
## CA 0.4907539 0.3846154 0.41733871 0.0000000
## WY 0.4875000 0.3278973 0.03199580 0.1486869
## Contig_76236_11 Contig_76243_61 Contig_76446_130 Contig_76490_64
## ORN 0.5384615 0.4090909 0.1250000 0.00000000
## ID 0.5052632 0.4545455 0.4155844 0.09090909
## ORS 0.5228758 0.1250000 0.0000000 0.11111111
## CA 0.5017422 0.5079365 0.0625000 0.08879493
## WY 0.5040616 0.1910007 0.2677397 0.20704633
## Contig_76551_51 Contig_76853_80 Contig_76943_91 Contig_77065_12
## ORN 0.0000000 0.4848485 0.4583333 0.5333333
## ID 0.0000000 0.2467532 0.3679654 0.5238095
## ORS 0.0000000 0.5000000 0.4705882 0.5294118
## CA 0.3960511 0.2615385 0.3413940 0.5116279
## WY 0.0000000 0.4787281 0.2434405 0.5030704
## Contig_77112_7 Contig_77620_18 Contig_77621_19 Contig_77718_42
## ORN 0.14285714 0.0000000 0.0000000 0.1250000
## ID 0.00000000 0.4545455 0.0000000 0.0000000
## ORS 0.52500000 0.1111111 0.3626374 0.4583333
## CA 0.42247511 0.2845528 0.3159117 0.0000000
## WY 0.03007171 0.2682813 0.1078167 0.1606349
## Contig_77776_31 Contig_77902_117 Contig_78046_27 Contig_78499_93
## ORN 0.0000000 0.0000000 0.40000000 0.4583333
## ID 0.1000000 0.4848485 0.41558442 0.5238095
## ORS 0.0000000 0.2091503 0.20915033 0.3250000
## CA 0.0000000 0.4181185 0.08879493 0.2061311
## WY 0.2468571 0.3632479 0.25815873 0.5019425
## Contig_78561_24 Contig_78843_70 Contig_78946_31 Contig_78979_59
## ORN 0.0000000 0.4000000 0.5274725 0.5333333
## ID 0.5064935 0.0000000 0.5194805 0.5228758
## ORS 0.1111111 0.0000000 0.3660131 0.5294118
## CA 0.1846154 0.0000000 0.5076923 0.2731152
## WY 0.3341201 0.1518348 0.5036415 0.4875000
## Contig_79833_28 Contig_80987_60 Contig_81053_37 Contig_81087_37
## ORN 0.1250000 0.5454545 0.1428571 0.5384615
## ID 0.3679654 0.3679654 0.2467532 0.5194805
## ORS 0.0000000 0.5000000 0.4000000 0.5294118
## CA 0.4378630 0.2460317 0.4623044 0.5120910
## WY 0.3516807 0.1589205 0.3208333 0.5040431
## Contig_81174_101 Contig_81303_98 Contig_81593_99 Contig_81765_107
## ORN 0.4583333 0.40000000 0.2333333 0.4945055
## ID 0.4789474 0.24675325 0.1111111 0.4421053
## ORS 0.5250000 0.00000000 0.1111111 0.5250000
## CA 0.3222222 0.04761905 0.3555556 0.3413940
## WY 0.2238157 0.31853282 0.3737138 0.3478342
## Contig_81796_13 Contig_82135_9 Contig_82413_70 Contig_83184_70
## ORN 0.0000000 0.5274725 0.4395604 0.5333333
## ID 0.3947368 0.5263158 0.2467532 0.5238095
## ORS 0.0000000 0.4583333 0.4000000 0.5294118
## CA 0.3449477 0.3528226 0.5078236 0.5142857
## WY 0.2547594 0.5048544 0.2587601 0.4988356
## Contig_83207_36 Contig_84963_76 Contig_85012_37 Contig_85474_73
## ORN 0.2333333 0.5333333 0.00000000 0.0000000
## ID 0.5210526 0.1000000 0.36796537 0.5238095
## ORS 0.5294118 0.4000000 0.00000000 0.2333333
## CA 0.5076923 0.0000000 0.05263158 0.0000000
## WY 0.4974936 0.2764518 0.26566792 0.3918265
## Contig_85776_48 Contig_86297_87 Contig_86338_32 Contig_86487_70
## ORN 0.1250000 0.5274725 0.00000000 0.36263736
## ID 0.4155844 0.5064935 0.24675325 0.09090909
## ORS 0.2637363 0.3660131 0.00000000 0.00000000
## CA 0.5000000 0.2857143 0.04545455 0.00000000
## WY 0.1759044 0.4861837 0.20784314 0.19635827
## Contig_86503_82 Contig_86818_110 Contig_87422_121 Contig_88154_32
## ORN 0.2333333 0.4395604 0.5303030 0.50000000
## ID 0.1731602 0.4421053 0.1731602 0.00000000
## ORS 0.5250000 0.4000000 0.5228758 0.11111111
## CA 0.5126984 0.5007112 0.5151515 0.05000000
## WY 0.2926618 0.4958730 0.4179910 0.08184847
## Contig_88159_58 Contig_88503_109 Contig_88996_109 Contig_89079_59
## ORN 0.0000000 0.4583333 0.12500000 0.3626374
## ID 0.0000000 0.0000000 0.31168831 0.4155844
## ORS 0.0000000 0.2941176 0.00000000 0.0000000
## CA 0.1754032 0.2347084 0.04545455 0.2845528
## WY 0.2096680 0.0000000 0.25232384 0.4886349
## Contig_89108_107 Contig_89434_18 Contig_89689_89 Contig_89877_65
## ORN 0.4000000 0.26373626 0.4583333 0.4848485
## ID 0.1731602 0.18947368 0.5210526 0.1731602
## ORS 0.2941176 0.12500000 0.3250000 0.5274725
## CA 0.3594080 0.32222222 0.5075494 0.4866310
## WY 0.2122665 0.05878788 0.4509804 0.1073958
## Contig_89882_123 Contig_90151_122 Contig_90230_121 Contig_90233_11
## ORN 0.5250000 0.52500000 0.00000000 0.1428571
## ID 0.1731602 0.00000000 0.09090909 0.5064935
## ORS 0.5000000 0.45833333 0.00000000 0.0000000
## CA 0.5115385 0.48663102 0.50128205 0.4735729
## WY 0.3559322 0.01960784 0.05751634 0.4964137
## Contig_90260_28 Contig_90416_130 Contig_90503_31 Contig_90758_47
## ORN 0.5454545 0.00000000 0.4945055 0.0000000
## ID 0.5052632 0.09090909 0.5238095 0.1731602
## ORS 0.5250000 0.42483660 0.5294118 0.2091503
## CA 0.4439746 0.38461538 0.5128205 0.0000000
## WY 0.3545752 0.00000000 0.5034965 0.2176029
## Contig_91507_110 Contig_91587_50 Contig_91717_42 Contig_91729_13
## ORN 0.5333333 0.5000000 0.52500000 0.2333333
## ID 0.3116883 0.3368421 0.09090909 0.4155844
## ORS 0.4705882 0.4583333 0.29411765 0.4666667
## CA 0.4907539 0.4598309 0.34494774 0.5128205
## WY 0.4595560 0.2515206 0.06010733 0.4587601
## Contig_91867_45 Contig_91919_14 Contig_92096_7 Contig_92114_96
## ORN 0.0000000 0.1250000 0.1250000 0.1428571
## ID 0.4155844 0.3679654 0.1731602 0.0000000
## ORS 0.4583333 0.0000000 0.1111111 0.2941176
## CA 0.1934566 0.0000000 0.1934566 0.2857143
## WY 0.3249495 0.4072727 0.1654247 0.0000000
## Contig_92155_114 Contig_92543_125 Contig_92558_98 Contig_92692_32
## ORN 0.4000000 0.3626374 0.0000000 0.5333333
## ID 0.5238095 0.4155844 0.4545455 0.5194805
## ORS 0.4395604 0.5274725 0.1111111 0.5384615
## CA 0.3846154 0.4991087 0.0000000 0.5116279
## WY 0.4773166 0.4505421 0.3508939 0.5033994
## Contig_92704_35 Contig_92968_46 Contig_93148_90 Contig_93868_52
## ORN 0.2333333 0.5274725 0.14285714 0.53030303
## ID 0.3947368 0.0000000 0.52941176 0.36796537
## ORS 0.3626374 0.2941176 0.32500000 0.36263736
## CA 0.1846154 0.2410148 0.05555556 0.09291521
## WY 0.4310259 0.1100180 0.26371977 0.22058824
## Contig_95096_81 Contig_95174_28 Contig_95412_109 Contig_95509_5
## ORN 0.52500000 0.3626374 0.23333333 0.14285714
## ID 0.17316017 0.4000000 0.17316017 0.17316017
## ORS 0.42483660 0.4848485 0.00000000 0.36601307
## CA 0.08879493 0.0000000 0.09291521 0.21390374
## WY 0.24832292 0.3368101 0.25152057 0.04613681
## Contig_95779_67 Contig_95791_13 Contig_95945_68 Contig_96645_81
## ORN 0.12500000 0.5333333 0.53030303 0.0000000
## ID 0.09090909 0.5238095 0.09090909 0.4155844
## ORS 0.52287582 0.5228758 0.00000000 0.1111111
## CA 0.34494774 0.5012821 0.00000000 0.0000000
## WY 0.22072072 0.4351819 0.08496732 0.4084710
## Contig_97042_65 Contig_97166_80 Contig_97781_21 Contig_97789_84
## ORN 0.32500000 0.1250000 0.5000000 0.4000000
## ID 0.33684211 0.4248366 0.5238095 0.4155844
## ORS 0.12500000 0.5228758 0.5333333 0.4248366
## CA 0.04761905 0.5075494 0.4438122 0.3846154
## WY 0.22295475 0.3901910 0.5036940 0.4683473
## Contig_97972_51 Contig_98587_109 Contig_98712_13 Contig_99137_60
## ORN 0.4000000 0.5000000 0.45833333 0.1250000
## ID 0.3116883 0.5238095 0.00000000 0.3679654
## ORS 0.5294118 0.2333333 0.40000000 0.1250000
## CA 0.1358885 0.3159117 0.43448276 0.0000000
## WY 0.2590793 0.5006519 0.04915966 0.2324847
## Contig_99261_92 Contig_99262_100 Contig_99471_99 Contig_99678_26
## ORN 0.00000000 0.1428571 0.5000000 0.4848485
## ID 0.41558442 0.0000000 0.5064935 0.3679654
## ORS 0.00000000 0.5000000 0.5032680 0.1250000
## CA 0.04761905 0.4439746 0.4703833 0.0000000
## WY 0.43641457 0.0000000 0.5033542 0.2398801
## Contig_99776_111 Contig_99925_16 Contig_99963_93 Contig_100421_47
## ORN 0.5333333 0.5333333 0.0000000 0.3250000
## ID 0.5238095 0.5238095 0.2467532 0.3679654
## ORS 0.5294118 0.5294118 0.2091503 0.5032680
## CA 0.5116279 0.5128205 0.1846154 0.4852008
## WY 0.5034965 0.5007868 0.1815126 0.4154209
## Contig_100459_24 Contig_100543_40 Contig_101325_18 Contig_101503_111
## ORN 0.2637363 0.5454545 0.5274725 0.45833333
## ID 0.0000000 0.5238095 0.3679654 0.09090909
## ORS 0.4000000 0.5228758 0.3660131 0.52287582
## CA 0.3528226 0.5115385 0.0500000 0.40897436
## WY 0.0000000 0.4988356 0.4640748 0.06245710
## Contig_101754_89 Contig_102464_37 Contig_102697_32 Contig_103279_4
## ORN 0.0000000 0.0000000 0.3030303 0.5384615
## ID 0.0000000 0.0000000 0.2684211 0.5238095
## ORS 0.2091503 0.2091503 0.5333333 0.5250000
## CA 0.4907539 0.4438122 0.2460317 0.4807692
## WY 0.0000000 0.0000000 0.2935352 0.4661684
## Contig_103642_83 Contig_103841_104 Contig_103984_76 Contig_104962_107
## ORN 0.12500000 0.14285714 0.00000000 0.4000000
## ID 0.09090909 0.41558442 0.09090909 0.4545455
## ORS 0.52287582 0.00000000 0.20915033 0.4248366
## CA 0.50739958 0.04545455 0.17653891 0.3282051
## WY 0.00000000 0.35659125 0.25586354 0.4956727
## Contig_105035_6 Contig_105095_93 Contig_105965_68 Contig_106347_31
## ORN 0.0000000 0.32500000 0.1666667 0.5274725
## ID 0.0000000 0.09090909 0.4789474 0.5210526
## ORS 0.0000000 0.00000000 0.0000000 0.5294118
## CA 0.4888889 0.51282051 0.0000000 0.5115385
## WY 0.0000000 0.00000000 0.3070866 0.4777932
## Contig_106415_60 Contig_106668_29 Contig_106822_57 Contig_106835_61
## ORN 0.52747253 0.52747253 0.43956044 0.0000000
## ID 0.09090909 0.09090909 0.00000000 0.1000000
## ORS 0.52941176 0.49450549 0.46666667 0.1111111
## CA 0.50769231 0.31591173 0.08879493 0.4307692
## WY 0.33563081 0.04284354 0.00000000 0.0000000
## Contig_107031_65 Contig_107087_16 Contig_107872_76 Contig_108456_13
## ORN 0.52747253 0.0000000 0.00000000 0.00000000
## ID 0.09090909 0.2467532 0.09090909 0.09090909
## ORS 0.11111111 0.0000000 0.50000000 0.00000000
## CA 0.23470839 0.0500000 0.09291521 0.00000000
## WY 0.01538462 0.1665510 0.21374178 0.16409266
## Contig_108610_64 Contig_108642_4 Contig_108759_21 Contig_110537_79
## ORN 0.43956044 0.0000000 0.2000000 0.3250000
## ID 0.09090909 0.1894737 0.5064935 0.0000000
## ORS 0.32500000 0.3030303 0.0000000 0.4395604
## CA 0.51153846 0.0000000 0.4571429 0.2243590
## WY 0.16409266 0.0959596 0.5030275 0.0000000
## Contig_110669_99 Contig_110672_16 Contig_110785_112 Contig_110929_45
## ORN 0.4395604 0.00000000 0.0000000 0.16666667
## ID 0.5052632 0.24675325 0.1731602 0.52631579
## ORS 0.3626374 0.00000000 0.0000000 0.00000000
## CA 0.0000000 0.09291521 0.0000000 0.05263158
## WY 0.4733010 0.26996721 0.1477838 0.44968012
## Contig_111070_92 Contig_111243_20 Contig_111447_101 Contig_111654_64
## ORN 0.3250000 0.0000000 0.5274725 0.0000000
## ID 0.4545455 0.4848485 0.3679654 0.3679654
## ORS 0.3660131 0.1111111 0.5032680 0.4583333
## CA 0.0000000 0.2731152 0.4888889 0.4307692
## WY 0.3351515 0.4960630 0.3634246 0.2474227
## Contig_111713_7 Contig_112956_55 Contig_113614_64 Contig_113643_29
## ORN 0.5250000 0.4583333 0.1250000 0.00000000
## ID 0.4705882 0.3679654 0.0000000 0.24675325
## ORS 0.5250000 0.4705882 0.0000000 0.00000000
## CA 0.5073996 0.2410148 0.4435484 0.05263158
## WY 0.4937143 0.1879371 0.0000000 0.17316342
## Contig_113733_89 Contig_113828_108 Contig_113838_8 Contig_113852_106
## ORN 0.5274725 0.46666667 0.3250000 0.00000000
## ID 0.3116883 0.00000000 0.3116883 0.09090909
## ORS 0.2091503 0.32500000 0.5294118 0.36601307
## CA 0.3159117 0.37011494 0.4059197 0.37126600
## WY 0.2122665 0.03477721 0.3667965 0.09284028
## Contig_114015_72 Contig_114116_35 Contig_115037_17 Contig_115568_112
## ORN 0.4000000 0.0000000 0.5333333 0.5454545
## ID 0.5032680 0.1731602 0.3660131 0.1731602
## ORS 0.1111111 0.1250000 0.5333333 0.4583333
## CA 0.2961538 0.0000000 0.4907539 0.4807692
## WY 0.4602357 0.2013465 0.4825397 0.1731634
## Contig_116039_6 Contig_116048_85 Contig_116405_32 Contig_116850_63
## ORN 0.00000000 0.0000000 0.5274725 0.5000000
## ID 0.09090909 0.5064935 0.0000000 0.5032680
## ORS 0.12500000 0.0000000 0.4583333 0.5250000
## CA 0.05555556 0.0000000 0.4224751 0.5121951
## WY 0.19433120 0.4466667 0.1842677 0.4905229
## Contig_117066_40 Contig_117120_6 Contig_117656_42 Contig_117703_66
## ORN 0.52747253 0.0000000 0.1428571 0.3626374
## ID 0.00000000 0.0000000 0.4155844 0.2467532
## ORS 0.32500000 0.2091503 0.5250000 0.1250000
## CA 0.20613108 0.3716609 0.3413940 0.0000000
## WY 0.01639344 0.0156250 0.3466667 0.2452830
## Contig_118262_48 Contig_118432_25 Contig_119735_21 Contig_119896_102
## ORN 0.0000000 0.46666667 0.14285714 0.49450549
## ID 0.2684211 0.23333333 0.00000000 0.17316017
## ORS 0.2941176 0.29411765 0.00000000 0.42483660
## CA 0.0000000 0.04761905 0.38461538 0.28455285
## WY 0.1620915 0.21187297 0.01785714 0.04346405
## Contig_120463_53 Contig_120770_122 Contig_120878_42 Contig_121448_11
## ORN 0.5333333 0.0000000 0.36263736 0.5274725
## ID 0.2091503 0.1731602 0.00000000 0.5064935
## ORS 0.1428571 0.5000000 0.45833333 0.5228758
## CA 0.3982930 0.2347084 0.48663102 0.5105708
## WY 0.1910007 0.3353517 0.01851852 0.4916339
## Contig_121630_37 Contig_121641_80 Contig_121951_54 Contig_121956_60
## ORN 0.4583333 0.0000000 0.40909091 0.0000000
## ID 0.3679654 0.1731602 0.09090909 0.1731602
## ORS 0.4248366 0.1250000 0.52500000 0.4583333
## CA 0.5000000 0.2845528 0.00000000 0.1571429
## WY 0.2297792 0.2204724 0.22977916 0.1338481
## Contig_122497_36 Contig_122500_36 Contig_122680_21 Contig_122771_32
## ORN 0.0000000 0.0000000 0.53846154 0.4000000
## ID 0.0000000 0.0000000 0.09090909 0.3116883
## ORS 0.4945055 0.4395604 0.00000000 0.2941176
## CA 0.5076923 0.3555556 0.10793651 0.4181185
## WY 0.0000000 0.0000000 0.29703504 0.4970195
## Contig_122908_13 Contig_122972_124 Contig_122983_80 Contig_123066_6
## ORN 0.00000000 0.00000000 0.0000000 0.4000000
## ID 0.09090909 0.18947368 0.1731602 0.3679654
## ORS 0.00000000 0.23333333 0.4583333 0.3660131
## CA 0.25087108 0.04761905 0.5172414 0.4779516
## WY 0.06842473 0.14506866 0.1596341 0.5027759
## Contig_123552_48 Contig_123834_3 Contig_123934_43 Contig_123968_57
## ORN 0.52747253 0.0000000 0.4395604 0.0000000
## ID 0.41558442 0.2941176 0.4545455 0.3116883
## ORS 0.52747253 0.1250000 0.4000000 0.4583333
## CA 0.05263158 0.4365079 0.4552846 0.1423077
## WY 0.49858215 0.4285340 0.5027759 0.3829858
## Contig_124017_44 Contig_124392_47 Contig_124467_11 Contig_125573_131
## ORN 0.5250000 0.0000000 0.4945055 0.53571429
## ID 0.4545455 0.2467532 0.3116883 0.17316017
## ORS 0.0000000 0.0000000 0.2333333 0.36601307
## CA 0.0000000 0.0000000 0.4779516 0.00000000
## WY 0.4533333 0.1459911 0.4951515 0.07757576
## Contig_126040_3 Contig_126269_34 Contig_126971_90 Contig_127283_7
## ORN 0.0000000 0.3250000 0.5250000 0.1250000
## ID 0.4848485 0.1731602 0.2684211 0.5052632
## ORS 0.0000000 0.2091503 0.2941176 0.1111111
## CA 0.0000000 0.4705882 0.3086771 0.1754032
## WY 0.4743935 0.2527233 0.1762392 0.4893553
## Contig_127374_17 Contig_127617_50 Contig_127663_55 Contig_127781_39
## ORN 0.2333333 0.3250000 0.00000000 0.1250000
## ID 0.4155844 0.5210526 0.09090909 0.3368421
## ORS 0.2091503 0.4248366 0.23333333 0.2091503
## CA 0.0500000 0.0000000 0.37166086 0.1300211
## WY 0.2064953 0.4814599 0.05751634 0.4293381
## Contig_128084_39 Contig_128194_20 Contig_128216_10 Contig_128444_91
## ORN 0.0000000 0.0000000 0.0000000 0.3626374
## ID 0.4545455 0.0000000 0.1731602 0.2467532
## ORS 0.0000000 0.0000000 0.0000000 0.1250000
## CA 0.0000000 0.5007112 0.0000000 0.1358885
## WY 0.3737646 0.0156250 0.1892211 0.2085384
## Contig_128668_41 Contig_128806_49 Contig_128814_89 Contig_128820_46
## ORN 0.36263736 0.0000000 0.52747253 0.0000000
## ID 0.00000000 0.0000000 0.51948052 0.5194805
## ORS 0.47058824 0.0000000 0.52500000 0.0000000
## CA 0.40106952 0.0000000 0.08879493 0.0000000
## WY 0.09976434 0.2560161 0.44188596 0.3278973
## Contig_128916_82 Contig_129532_111 Contig_129833_74 Contig_130085_14
## ORN 0.0000000 0.0000000 0.5274725 0.3250000
## ID 0.1731602 0.3947368 0.4155844 0.0000000
## ORS 0.0000000 0.0000000 0.3660131 0.3660131
## CA 0.2139037 0.0000000 0.0500000 0.3413940
## WY 0.1162863 0.1977401 0.3684848 0.0000000
## Contig_130103_89 Contig_130288_27 Contig_130355_36 Contig_130858_52
## ORN 0.5000000 0.0000000 0.00000000 0.3250000
## ID 0.3679654 0.2941176 0.00000000 0.5194805
## ORS 0.3660131 0.0000000 0.00000000 0.1111111
## CA 0.5021142 0.0000000 0.09291521 0.1934566
## WY 0.3817531 0.1865397 0.24832292 0.5005997
## Contig_131090_71 Contig_131328_110 Contig_131418_63 Contig_131441_62
## ORN 0.14285714 0.1250000 0.3250000 0.00000000
## ID 0.09090909 0.3116883 0.4155844 0.26842105
## ORS 0.00000000 0.0000000 0.5274725 0.00000000
## CA 0.00000000 0.3368984 0.4224751 0.22580645
## WY 0.13540675 0.2682813 0.3100450 0.09241972
## Contig_131809_3 Contig_131991_43 Contig_132103_45 Contig_132388_35
## ORN 0.5333333 0.4395604 0.0000000 0.5274725
## ID 0.5238095 0.2467532 0.3116883 0.4848485
## ORS 0.5333333 0.2333333 0.1111111 0.2941176
## CA 0.5105708 0.0500000 0.2845528 0.4923077
## WY 0.4947526 0.3330715 0.2598134 0.4916895
## Contig_132547_40 Contig_132607_74 Contig_132612_62 Contig_132881_8
## ORN 0.50000000 0.0000000 0.0000000 0.1666667
## ID 0.09090909 0.1731602 0.1731602 0.4545455
## ORS 0.52287582 0.0000000 0.5032680 0.4248366
## CA 0.48076923 0.0000000 0.2961538 0.4666667
## WY 0.01515152 0.1787323 0.1759044 0.3938565
## Contig_133109_126 Contig_133855_27 Contig_134653_123 Contig_134810_71
## ORN 0.49450549 0.40909091 0.2637363 0.4945055
## ID 0.17316017 0.20915033 0.5210526 0.4155844
## ORS 0.20915033 0.12500000 0.5384615 0.5250000
## CA 0.09291521 0.34494774 0.2961538 0.3368984
## WY 0.43102585 0.01923077 0.4635901 0.3597169
## Contig_134817_65 Contig_135242_99 Contig_135396_58 Contig_135482_36
## ORN 0.5250000 0.4945055 0.4945055 0.2333333
## ID 0.2467532 0.4545455 0.1731602 0.4848485
## ORS 0.4395604 0.3250000 0.1111111 0.4705882
## CA 0.4866310 0.4705882 0.1300211 0.0000000
## WY 0.2644678 0.3032138 0.1198730 0.4875996
## Contig_135622_39 Contig_135678_102 Contig_136280_32 Contig_136655_80
## ORN 0.2637363 0.0000000 0.4848485 0.52500000
## ID 0.0000000 0.0000000 0.1731602 0.17316017
## ORS 0.1250000 0.5333333 0.2637363 0.53333333
## CA 0.4552846 0.3086771 0.4378630 0.49230769
## WY 0.0000000 0.0000000 0.1688730 0.08913119
## Contig_136895_75 Contig_137057_66 Contig_137112_95 Contig_137203_74
## ORN 0.5333333 0.00000000 0.5274725 0.3626374
## ID 0.5032680 0.17316017 0.3679654 0.5064935
## ORS 0.0000000 0.20915033 0.0000000 0.5294118
## CA 0.5017422 0.05263158 0.3413940 0.4852008
## WY 0.4270423 0.10231660 0.3351515 0.4791111
## Contig_137260_34 Contig_138135_119 Contig_138386_75 Contig_138681_85
## ORN 0.00000000 0.5250000 0.2333333 0.5274725
## ID 0.09090909 0.4848485 0.0000000 0.4848485
## ORS 0.50000000 0.2941176 0.5000000 0.5274725
## CA 0.18461538 0.1571429 0.1423077 0.5115385
## WY 0.16852514 0.4536415 0.1301476 0.4246349
## Contig_138758_70 Contig_139512_15 Contig_139621_49 Contig_139842_112
## ORN 0.2333333 0.0000000 0.0000000 0.36263736
## ID 0.3116883 0.0000000 0.1731602 0.26842105
## ORS 0.0000000 0.0000000 0.2941176 0.12500000
## CA 0.0000000 0.4089744 0.3368984 0.04545455
## WY 0.2026954 0.0000000 0.1685251 0.32420604
## Contig_140056_44 Contig_140113_43 Contig_140188_13 Contig_140374_95
## ORN 0.1250000 0.2333333 0.5384615 0.2333333
## ID 0.1731602 0.2467532 0.5238095 0.2467532
## ORS 0.0000000 0.0000000 0.5294118 0.5032680
## CA 0.0000000 0.4779516 0.5116279 0.5007112
## WY 0.3623885 0.3229358 0.5026976 0.3932087
## Contig_140447_77 Contig_140731_11 Contig_140916_116 Contig_140994_25
## ORN 0.5250000 0.4000000 0.3626374 0.1250000
## ID 0.4789474 0.2684211 0.1000000 0.4155844
## ORS 0.5228758 0.2091503 0.1250000 0.0000000
## CA 0.4979839 0.2148664 0.0000000 0.0000000
## WY 0.4608229 0.1688730 0.3206897 0.1836454
## Contig_141104_125 Contig_141493_6 Contig_141538_42 Contig_141848_77
## ORN 0.0000000 0.0000000 0.3250000 0.3626374
## ID 0.2467532 0.3679654 0.2684211 0.4848485
## ORS 0.0000000 0.3660131 0.3660131 0.5333333
## CA 0.0000000 0.4089744 0.4746032 0.0000000
## WY 0.1993769 0.3591208 0.2078431 0.3356308
## Contig_141856_4 Contig_142225_127 Contig_142258_62 Contig_142398_9
## ORN 0.5454545 0.0000000 0.4285714 0.1428571
## ID 0.5194805 0.2684211 0.0000000 0.1731602
## ORS 0.5000000 0.0000000 0.0000000 0.5294118
## CA 0.0000000 0.2508711 0.0000000 0.5012821
## WY 0.2137418 0.2232073 0.2026954 0.2696044
## Contig_142502_76 Contig_143332_76 Contig_143676_94 Contig_143844_123
## ORN 0.00000000 0.2333333 0.5384615 0.53030303
## ID 0.09090909 0.3679654 0.5238095 0.00000000
## ORS 0.12500000 0.5032680 0.5294118 0.49450549
## CA 0.05882353 0.1358885 0.5135135 0.09291521
## WY 0.10978342 0.3577818 0.5045822 0.00000000
## Contig_144378_4 Contig_144514_16 Contig_144762_21 Contig_144964_90
## ORN 0.2637363 0.1250000 0.50000000 0.1428571
## ID 0.4545455 0.4848485 0.24675325 0.1731602
## ORS 0.4090909 0.1111111 0.29411765 0.0000000
## CA 0.4779516 0.0000000 0.50793651 0.0974359
## WY 0.5047619 0.3734610 0.05354462 0.3208333
## Contig_145063_8 Contig_145275_65 Contig_145704_5 Contig_145837_60
## ORN 0.4000000 0.0000000 0.0000000 0.2637363
## ID 0.1894737 0.3368421 0.0000000 0.4155844
## ORS 0.3626374 0.0000000 0.0000000 0.2333333
## CA 0.4438122 0.0500000 0.0000000 0.0000000
## WY 0.3232323 0.2833631 0.2284848 0.2340734
## Contig_146720_86 Contig_146734_54 Contig_146780_47 Contig_146872_48
## ORN 0.3626374 0.1428571 0.4000000 0.3250000
## ID 0.3116883 0.2467532 0.2091503 0.2684211
## ORS 0.4000000 0.2091503 0.5032680 0.1250000
## CA 0.3960511 0.1493599 0.3282051 0.0974359
## WY 0.3226891 0.1245283 0.4312514 0.3739331
## Contig_147102_53 Contig_147327_30 Contig_147496_94 Contig_147500_48
## ORN 0.00000000 0.0000000 0.2637363 0.4000000
## ID 0.00000000 0.1000000 0.0000000 0.4545455
## ORS 0.12500000 0.1428571 0.5032680 0.4000000
## CA 0.45098039 0.3846154 0.3837209 0.2961538
## WY 0.01694915 0.1182432 0.0000000 0.3368031
## Contig_147779_65 Contig_147926_79 Contig_148098_46 Contig_148187_111
## ORN 0.1250000 0.2333333 0.1250000 0.4945055
## ID 0.5052632 0.1731602 0.5064935 0.0000000
## ORS 0.0000000 0.4248366 0.2637363 0.3250000
## CA 0.0000000 0.2148664 0.3712660 0.1765389
## WY 0.4144884 0.1337143 0.4632477 0.0000000
## Contig_148206_10 Contig_149522_34 Contig_149550_5 Contig_149590_131
## ORN 0.50000000 0.2333333 0.00000000 0.23333333
## ID 0.09090909 0.4155844 0.09090909 0.00000000
## ORS 0.11111111 0.3250000 0.00000000 0.49450549
## CA 0.43650794 0.5078236 0.19345661 0.45528455
## WY 0.24742268 0.4671882 0.18393209 0.06949807
## Contig_149597_6 Contig_149993_47 Contig_150433_88 Contig_150698_43
## ORN 0.5384615 0.5384615 0.32500000 0.0000000
## ID 0.0000000 0.4545455 0.31168831 0.0000000
## ORS 0.1111111 0.1428571 0.20915033 0.0000000
## CA 0.4746032 0.5076923 0.31591173 0.4307692
## WY 0.1818182 0.4868451 0.06010733 0.0000000
## Contig_151812_99 Contig_151886_45 Contig_151983_81 Contig_153102_13
## ORN 0.0000000 0.23333333 0.20000000 0.2333333
## ID 0.4545455 0.09090909 0.23333333 0.4155844
## ORS 0.0000000 0.23333333 0.00000000 0.1428571
## CA 0.0000000 0.32820513 0.04545455 0.2845528
## WY 0.3084948 0.06831237 0.20385033 0.4029985
## Contig_153291_101 Contig_154036_47 Contig_154134_112 Contig_154236_39
## ORN 0.0000000 0.5384615 0.3250000 0.1666667
## ID 0.2467532 0.5032680 0.4545455 0.4545455
## ORS 0.0000000 0.5294118 0.2091503 0.4583333
## CA 0.1493599 0.5080645 0.2347084 0.5128205
## WY 0.2146657 0.4847941 0.4573374 0.4123711
## Contig_154539_35 Contig_154574_97 Contig_154685_80 Contig_155294_78
## ORN 0.5384615 0.0000000 0.1428571 0.1250000
## ID 0.1731602 0.1731602 0.4155844 0.1731602
## ORS 0.2941176 0.0000000 0.5274725 0.2091503
## CA 0.4509804 0.0000000 0.3982930 0.4173387
## WY 0.1568733 0.1750172 0.3886869 0.2078431
## Contig_155417_10 Contig_155594_28 Contig_156117_44 Contig_156190_102
## ORN 0.5555556 0.00000000 0.0000000 0.5303030
## ID 0.0000000 0.17316017 0.1731602 0.4789474
## ORS 0.1111111 0.00000000 0.1250000 0.0000000
## CA 0.2347084 0.31591173 0.0000000 0.3282051
## WY 0.1262485 0.07925755 0.2207207 0.2991004
## Contig_156426_53 Contig_156473_74 Contig_157039_43 Contig_157129_19
## ORN 0.3250000 0.0000000 0.0000000 0.5000000
## ID 0.4848485 0.4545455 0.0000000 0.4545455
## ORS 0.2941176 0.0000000 0.2941176 0.2091503
## CA 0.2845528 0.0500000 0.3576923 0.1846154
## WY 0.5007452 0.2471042 0.0000000 0.4615987
## Contig_157268_124 Contig_157286_87 Contig_157336_56 Contig_158025_24
## ORN 0.3250000 0.0000000 0.5333333 0.0000000
## ID 0.2684211 0.0000000 0.5238095 0.0000000
## ORS 0.3626374 0.1428571 0.5294118 0.1111111
## CA 0.4838710 0.5075494 0.5116279 0.4307692
## WY 0.3824424 0.0000000 0.5036496 0.0000000
## Contig_158272_112 Contig_158627_31 Contig_158669_92 Contig_158932_107
## ORN 0.48484848 0.0000000 0.30303030 0.4583333
## ID 0.31168831 0.2467532 0.09090909 0.4421053
## ORS 0.29411765 0.0000000 0.48484848 0.5384615
## CA 0.05555556 0.0000000 0.51587302 0.1024182
## WY 0.20966803 0.1467163 0.20074963 0.4975805
## Contig_159051_49 Contig_159100_68 Contig_159264_73 Contig_159438_10
## ORN 0.5454545 0.0000000 0.0000000 0.23333333
## ID 0.1731602 0.1000000 0.5194805 0.00000000
## ORS 0.3030303 0.0000000 0.5250000 0.29411765
## CA 0.0000000 0.0000000 0.5126984 0.43786295
## WY 0.1318550 0.1421121 0.5017159 0.01408451
## Contig_159872_6 Contig_160018_82 Contig_160053_84 Contig_160061_3
## ORN 0.000000 0.1428571 0.3626374 0.5333333
## ID 0.000000 0.3947368 0.3679654 0.5238095
## ORS 0.325000 0.3250000 0.5274725 0.5228758
## CA 0.000000 0.2243590 0.0500000 0.5073996
## WY 0.119873 0.4552514 0.3957529 0.4979085
## Contig_160196_96 Contig_160572_73 Contig_160732_60 Contig_160889_33
## ORN 0.2637363 0.5274725 0.26373626 0.4945055
## ID 0.5052632 0.2467532 0.17316017 0.5052632
## ORS 0.0000000 0.5032680 0.29411765 0.0000000
## CA 0.0000000 0.4089744 0.34494774 0.0974359
## WY 0.4877388 0.3898710 0.01886792 0.2391769
## Contig_161129_121 Contig_161163_78 Contig_161223_108 Contig_161504_122
## ORN 0.1428571 0.16666667 0.00000000 0.45833333
## ID 0.3116883 0.00000000 0.24675325 0.26842105
## ORS 0.4000000 0.12500000 0.00000000 0.47058824
## CA 0.3159117 0.04545455 0.04545455 0.05263158
## WY 0.3136669 0.15438596 0.32733993 0.16960886
## Contig_162238_79 Contig_162550_57 Contig_162755_32 Contig_163109_35
## ORN 0.1250000 0.1428571 0.1666667 0.5303030
## ID 0.4155844 0.1731602 0.4155844 0.5228758
## ORS 0.3660131 0.0000000 0.3250000 0.2333333
## CA 0.5079365 0.0000000 0.4923077 0.2584670
## WY 0.2366228 0.2607562 0.2763853 0.4928105
## Contig_163259_54 Contig_163359_5 Contig_163625_81 Contig_163628_49
## ORN 0.48484848 0.0000000 0.2000000 0.1250000
## ID 0.00000000 0.2467532 0.0000000 0.3116883
## ORS 0.20000000 0.1111111 0.3030303 0.0000000
## CA 0.21486643 0.0000000 0.3576923 0.0000000
## WY 0.03603003 0.3484444 0.0000000 0.3817531
## Contig_163727_60 Contig_163858_29 Contig_164052_29 Contig_164130_30
## ORN 0.48484848 0.32500000 0.3250000 0.32500000
## ID 0.18947368 0.09090909 0.3116883 0.09090909
## ORS 0.20915033 0.11111111 0.2941176 0.20915033
## CA 0.08879493 0.35769231 0.5120910 0.00000000
## WY 0.05260618 0.31154684 0.1391539 0.17125984
## Contig_164337_123 Contig_164652_55 Contig_164674_28 Contig_164783_37
## ORN 0.4090909 0.12500000 0.2637363 0.0000000
## ID 0.4545455 0.00000000 0.4155844 0.4545455
## ORS 0.3555556 0.00000000 0.2941176 0.0000000
## CA 0.2845528 0.49361208 0.3555556 0.0000000
## WY 0.3008254 0.04052905 0.5032895 0.5001867
## Contig_165355_70 Contig_165467_47 Contig_165961_60 Contig_166056_59
## ORN 0.4945055 0.4000000 0.00000000 0.43956044
## ID 0.3116883 0.5263158 0.00000000 0.11111111
## ORS 0.2091503 0.4945055 0.00000000 0.30303030
## CA 0.0000000 0.4907539 0.44381223 0.16577540
## WY 0.3158005 0.5036472 0.04284354 0.05260618
## Contig_166060_72 Contig_166082_35 Contig_166091_18 Contig_166417_78
## ORN 0.0000000 0.5000000 0.5333333 0.5303030
## ID 0.0000000 0.4155844 0.5238095 0.4789474
## ORS 0.2091503 0.5250000 0.5294118 0.4945055
## CA 0.4224751 0.4705882 0.5105708 0.4571429
## WY 0.0000000 0.0997807 0.5035438 0.3643036
## Contig_166982_14 Contig_167518_72 Contig_167851_3 Contig_168126_65
## ORN 0.4945055 0.5000000 0.5000000 0.2637363
## ID 0.5194805 0.5194805 0.4848485 0.1894737
## ORS 0.5032680 0.5294118 0.3250000 0.5032680
## CA 0.4831591 0.5120910 0.2584670 0.4779516
## WY 0.4908495 0.4421945 0.4982929 0.2343171
## Contig_168404_22 Contig_168458_97 Contig_168839_48 Contig_168846_62
## ORN 0.0000000 0.00000000 0.0000000 0.0000000
## ID 0.2091503 0.09090909 0.1000000 0.0000000
## ORS 0.0000000 0.00000000 0.1250000 0.3250000
## CA 0.0000000 0.04545455 0.1846154 0.4438122
## WY 0.3621328 0.15611210 0.2118730 0.0000000
## Contig_168986_112 Contig_169199_88 Contig_169638_5 Contig_169929_9
## ORN 0.5384615 0.50000000 0.0000000 0.5303030
## ID 0.4155844 0.09090909 0.4155844 0.3679654
## ORS 0.4705882 0.00000000 0.1250000 0.4945055
## CA 0.1934566 0.10241821 0.0000000 0.4907539
## WY 0.3561873 0.03808813 0.2718778 0.2314465
## Contig_170341_23 Contig_170516_6 Contig_170799_106 Contig_171120_55
## ORN 0.1428571 0.3250000 0.43956044 0.4395604
## ID 0.3116883 0.3679654 0.09090909 0.5210526
## ORS 0.2333333 0.3250000 0.12500000 0.5228758
## CA 0.2031746 0.5105708 0.05000000 0.4936121
## WY 0.2850505 0.4221086 0.15963406 0.4270423
## Contig_171526_40 Contig_171546_5 Contig_171582_106 Contig_172196_102
## ORN 0.5555556 0.0000000 0.5274725 0.5000000
## ID 0.5194805 0.1731602 0.4848485 0.0000000
## ORS 0.5294118 0.1111111 0.5274725 0.4705882
## CA 0.5128205 0.2410148 0.5012821 0.5080214
## WY 0.5040616 0.1402929 0.4754286 0.0000000
## Contig_172254_59 Contig_172255_39 Contig_172364_49 Contig_172444_22
## ORN 0.5274725 0.00000000 0.0000000 0.4583333
## ID 0.5064935 0.09090909 0.0000000 0.4848485
## ORS 0.5032680 0.00000000 0.0000000 0.4248366
## CA 0.4307692 0.00000000 0.4181185 0.1846154
## WY 0.4898219 0.17883756 0.0000000 0.5036415
## Contig_172706_67 Contig_173002_72 Contig_173005_7 Contig_173071_38
## ORN 0.0000000 0.5384615 0.5303030 0.3626374
## ID 0.3947368 0.2467532 0.4421053 0.4155844
## ORS 0.2941176 0.4583333 0.4395604 0.4583333
## CA 0.0000000 0.4438122 0.4378630 0.2994652
## WY 0.4491228 0.1162863 0.2926618 0.4208315
## Contig_173151_101 Contig_173437_54 Contig_173706_116 Contig_173793_28
## ORN 0.3250000 0.0000000 0.1250000 0.4583333
## ID 0.1731602 0.0000000 0.2091503 0.5052632
## ORS 0.1250000 0.0000000 0.4848485 0.5250000
## CA 0.0000000 0.3449477 0.0000000 0.1934566
## WY 0.1073958 0.1642913 0.1991111 0.3499035
## Contig_174061_98 Contig_174530_66 Contig_174580_8 Contig_174604_109
## ORN 0.36263736 0.00000000 0.5333333 0.2637363
## ID 0.24675325 0.48484848 0.5263158 0.0000000
## ORS 0.20915033 0.52941176 0.5294118 0.5274725
## CA 0.04761905 0.04761905 0.5121951 0.0000000
## WY 0.21712603 0.37786260 0.5034965 0.2763853
## Contig_174716_89 Contig_174803_105 Contig_174844_65 Contig_175056_14
## ORN 0.5384615 0.0000000 0.4395604 0.0000000
## ID 0.5052632 0.3947368 0.0000000 0.2467532
## ORS 0.4000000 0.4000000 0.3250000 0.4705882
## CA 0.2243590 0.0000000 0.4703833 0.4807692
## WY 0.5050439 0.1384562 0.1494886 0.1267737
## Contig_175248_110 Contig_175483_62 Contig_175892_47 Contig_176102_95
## ORN 0.16666667 0.5274725 0.4395604 0.0000000
## ID 0.50000000 0.4789474 0.4789474 0.4155844
## ORS 0.00000000 0.5228758 0.5250000 0.2637363
## CA 0.04761905 0.5135135 0.2731152 0.0000000
## WY 0.50195567 0.3416812 0.3937844 0.3274489
## Contig_176126_108 Contig_176302_40 Contig_176826_92 Contig_176915_67
## ORN 0.14285714 0.3030303 0.5333333 0.0000000
## ID 0.24675325 0.5052632 0.5194805 0.1731602
## ORS 0.11111111 0.4395604 0.5294118 0.0000000
## CA 0.05555556 0.4438122 0.5116279 0.0000000
## WY 0.21034195 0.4988356 0.5010488 0.2687675
## Contig_177115_70 Contig_177167_19 Contig_177550_44 Contig_177713_45
## ORN 0.4000000 0.0000000 0.2333333 0.1428571
## ID 0.5194805 0.0000000 0.0000000 0.0000000
## ORS 0.4583333 0.2941176 0.1250000 0.5250000
## CA 0.4888889 0.0000000 0.3846154 0.5128205
## WY 0.4310259 0.1262485 0.0000000 0.0000000
## Contig_177741_16 Contig_178296_77 Contig_178887_128 Contig_179086_55
## ORN 0.5333333 0.0000000 0.0000000 0.3333333
## ID 0.5064935 0.4848485 0.1731602 0.4789474
## ORS 0.1250000 0.5250000 0.2941176 0.5384615
## CA 0.0000000 0.1358885 0.1691332 0.5126984
## WY 0.4981329 0.4403882 0.2547982 0.3876774
## Contig_179483_54 Contig_179550_76 Contig_179988_6 Contig_180062_16
## ORN 0.00000000 0.16666667 0.0000000 0.4395604
## ID 0.17316017 0.09090909 0.1731602 0.2467532
## ORS 0.00000000 0.53846154 0.2333333 0.5333333
## CA 0.04761905 0.37126600 0.3960511 0.5120910
## WY 0.13571991 0.17050558 0.0000000 0.1245098
## Contig_180452_75 Contig_180586_59 Contig_180779_15 Contig_180985_25
## ORN 0.0000000 0.0000000 0.14285714 0.5250000
## ID 0.3116883 0.4155844 0.00000000 0.5238095
## ORS 0.0000000 0.0000000 0.20000000 0.5294118
## CA 0.1423077 0.0000000 0.41733871 0.5116279
## WY 0.3507207 0.3416812 0.04476058 0.5034483
## Contig_181615_21 Contig_181831_74 Contig_181956_17 Contig_181958_85
## ORN 0.5274725 0.0000000 0.0000000 0.3626374
## ID 0.2684211 0.2467532 0.0000000 0.0000000
## ORS 0.5333333 0.0000000 0.1666667 0.5032680
## CA 0.3576923 0.0000000 0.4439746 0.3576923
## WY 0.2508757 0.3135663 0.1070822 0.0000000
## Contig_181988_105 Contig_182216_80 Contig_182237_124 Contig_182566_12
## ORN 0.2637363 0.14285714 0.0000000 0.0000000
## ID 0.1894737 0.09090909 0.4155844 0.3660131
## ORS 0.3660131 0.20915033 0.0000000 0.0000000
## CA 0.0000000 0.38571429 0.2615385 0.0000000
## WY 0.1357199 0.25623427 0.3437219 0.2846361
## Contig_182820_17 Contig_182847_12 Contig_183657_41 Contig_184514_77
## ORN 0.0000000 0.1428571 0.12500000 0.2333333
## ID 0.0000000 0.3368421 0.09090909 0.4421053
## ORS 0.4583333 0.2941176 0.50000000 0.3626374
## CA 0.0000000 0.4045977 0.14230769 0.5078236
## WY 0.1624927 0.4567270 0.10408674 0.3206349
## Contig_184516_23 Contig_185327_22 Contig_185561_34 Contig_185668_13
## ORN 0.0000000 0.5333333 0.0000000 0.43956044
## ID 0.0000000 0.5238095 0.1731602 0.48484848
## ORS 0.4583333 0.5294118 0.0000000 0.00000000
## CA 0.2243590 0.5116279 0.0000000 0.08879493
## WY 0.1377862 0.4939715 0.1497821 0.40332422
## Contig_185943_30 Contig_185963_36 Contig_186558_106 Contig_186690_4
## ORN 0.5000000 0.5303030 0.49450549 0.4945055
## ID 0.1731602 0.3660131 0.17316017 0.4545455
## ORS 0.1250000 0.4000000 0.48484848 0.2941176
## CA 0.2410148 0.5116279 0.50000000 0.2731152
## WY 0.1836454 0.4330709 0.03882741 0.4159596
## Contig_187133_118 Contig_187451_62 Contig_187548_112 Contig_188226_89
## ORN 0.5250000 0.2333333 0.00000000 0.3250000
## ID 0.5238095 0.4705882 0.09090909 0.1731602
## ORS 0.5294118 0.4248366 0.00000000 0.4000000
## CA 0.4831591 0.4831591 0.00000000 0.4307692
## WY 0.4847941 0.4563803 0.22461658 0.2575758
## Contig_188307_3 Contig_188552_77 Contig_188577_7 Contig_189053_13
## ORN 0.4090909 0.1250000 0.1250000 0.4666667
## ID 0.1000000 0.2467532 0.0000000 0.3250000
## ORS 0.2333333 0.0000000 0.1111111 0.5274725
## CA 0.3086771 0.1423077 0.2961538 0.3712660
## WY 0.2208738 0.1059190 0.1393274 0.1042077
## Contig_189252_100 Contig_189647_70 Contig_189926_36 Contig_190373_62
## ORN 0.0000000 0.2637363 0.3626374 0.0000000
## ID 0.1731602 0.3116883 0.1894737 0.3116883
## ORS 0.2941176 0.5303030 0.4583333 0.2091503
## CA 0.4947146 0.4598309 0.4509804 0.5120910
## WY 0.2798054 0.2176029 0.0000000 0.2855182
## Contig_190519_20 Contig_190752_40 Contig_191114_60 Contig_191655_49
## ORN 0.4666667 0.1428571 0.4583333 0.3250000
## ID 0.3116883 0.5228758 0.3116883 0.1000000
## ORS 0.4583333 0.5032680 0.0000000 0.1111111
## CA 0.4307692 0.0000000 0.0500000 0.0000000
## WY 0.2878561 0.3130590 0.1671891 0.1688730
## Contig_191965_36 Contig_192008_75 Contig_192055_27 Contig_192218_68
## ORN 0.4945055 0.5384615 0.2000000 0.0000000
## ID 0.2467532 0.5238095 0.0000000 0.4155844
## ORS 0.0000000 0.5228758 0.4090909 0.2941176
## CA 0.4307692 0.5121951 0.3857143 0.3368984
## WY 0.2878561 0.5038140 0.0000000 0.3430368
## Contig_192708_44 Contig_192960_102 Contig_193016_81 Contig_193235_28
## ORN 0.4285714 0.1250000 0.1250000 0.5000000
## ID 0.1894737 0.2467532 0.0000000 0.5238095
## ORS 0.0000000 0.0000000 0.4000000 0.5250000
## CA 0.4278075 0.0000000 0.3222222 0.4657258
## WY 0.1927030 0.1147351 0.0000000 0.5007868
## Contig_193587_88 Contig_194138_99 Contig_194212_4 Contig_194633_75
## ORN 0.2333333 0.5384615 0.4848485 0.1666667
## ID 0.4789474 0.5238095 0.4421053 0.5210526
## ORS 0.4945055 0.4395604 0.4248366 0.4248366
## CA 0.4597701 0.4552846 0.5120910 0.2857143
## WY 0.2508757 0.4671882 0.4726891 0.5039806
## Contig_194738_57 Contig_194799_79 Contig_194838_52 Contig_194990_80
## ORN 0.3250000 0.26373626 0.12500000 0.1250000
## ID 0.1731602 0.09090909 0.09090909 0.5064935
## ORS 0.0000000 0.11111111 0.20915033 0.1111111
## CA 0.0000000 0.00000000 0.41811847 0.0000000
## WY 0.1865397 0.21745021 0.20915033 0.4443778
## Contig_195462_77 Contig_195513_97 Contig_195625_22 Contig_195763_19
## ORN 0.2333333 0.5384615 0.00000000 0.2637363
## ID 0.4155844 0.2467532 0.48484848 0.1000000
## ORS 0.2091503 0.5032680 0.40909091 0.5000000
## CA 0.4947146 0.4552846 0.05263158 0.4746032
## WY 0.4538541 0.4722222 0.46825990 0.1223607
## Contig_196395_34 Contig_196902_73 Contig_196997_15 Contig_197010_103
## ORN 0.00000000 0.53030303 0.4848485 0.5333333
## ID 0.50326797 0.09090909 0.4789474 0.5384615
## ORS 0.32500000 0.20915033 0.5333333 0.4666667
## CA 0.04761905 0.38461538 0.5076923 0.3870968
## WY 0.43989218 0.06378404 0.4987130 0.2800000
## Contig_197350_20 Contig_197690_27 Contig_197905_27 Contig_198093_23
## ORN 0.4395604 0.0000000 0.5357143 0.3626374
## ID 0.5238095 0.0000000 0.4421053 0.5238095
## ORS 0.5032680 0.2091503 0.5384615 0.2941176
## CA 0.5079365 0.4991087 0.4705882 0.4888889
## WY 0.5040650 0.0000000 0.5045872 0.4996568
## Contig_198131_90 Contig_198172_63 Contig_198730_60 Contig_198791_62
## ORN 0.14285714 0.23333333 0.5384615 0.0000000
## ID 0.24675325 0.09090909 0.5228758 0.1000000
## ORS 0.23333333 0.00000000 0.5333333 0.4000000
## CA 0.39605110 0.00000000 0.5128205 0.1209677
## WY 0.07610173 0.17590436 0.5044248 0.2103420
## Contig_199313_129 Contig_199670_21 Contig_199733_92 Contig_199921_62
## ORN 0.5303030 0.2637363 0.4583333 0.5274725
## ID 0.2467532 0.0000000 0.4545455 0.0000000
## ORS 0.4848485 0.1250000 0.2941176 0.3250000
## CA 0.4779516 0.3857143 0.5133690 0.2961538
## WY 0.1668057 0.0000000 0.2873594 0.0000000
## Contig_199988_19 Contig_200012_13 Contig_200380_8 Contig_200892_70
## ORN 0.1250000 0.0000000 0.5303030 0.4000000
## ID 0.0000000 0.4248366 0.4545455 0.1731602
## ORS 0.2091503 0.1111111 0.0000000 0.0000000
## CA 0.4439746 0.3329810 0.0000000 0.2845528
## WY 0.0000000 0.3602699 0.3183848 0.1061174
## Contig_201118_93 Contig_202073_55 Contig_202137_91 Contig_202508_121
## ORN 0.00000000 0.5333333 0.0000000 0.0000000
## ID 0.09090909 0.4705882 0.0000000 0.0000000
## ORS 0.00000000 0.3250000 0.3030303 0.3626374
## CA 0.42780749 0.5076923 0.4500000 0.3282051
## WY 0.03360858 0.5019639 0.0000000 0.0000000
## Contig_202551_31 Contig_202642_60 Contig_202684_24 Contig_202882_46
## ORN 0.5333333 0.4945055 0.00000000 0.5250000
## ID 0.5238095 0.5194805 0.50649351 0.2467532
## ORS 0.5228758 0.4000000 0.00000000 0.4395604
## CA 0.5142857 0.3555556 0.04545455 0.5080214
## WY 0.5043860 0.4806061 0.26960444 0.2926618
## Contig_202899_116 Contig_203035_32 Contig_203062_17 Contig_203281_75
## ORN 0.23333333 0.5250000 0.0000000 0.30303030
## ID 0.47894737 0.3679654 0.2467532 0.36601307
## ORS 0.00000000 0.2941176 0.0000000 0.23333333
## CA 0.05263158 0.3555556 0.0000000 0.09291521
## WY 0.15162636 0.3129719 0.2715152 0.32941176
## Contig_203342_87 Contig_203502_125 Contig_203636_17 Contig_204565_8
## ORN 0.12500000 0.32500000 0.0000000 0.0000000
## ID 0.09090909 0.48484848 0.2467532 0.0000000
## ORS 0.12500000 0.36601307 0.0000000 0.3555556
## CA 0.04761905 0.08879493 0.0000000 0.3576923
## WY 0.13932739 0.50195705 0.3154623 0.2729875
## Contig_204707_104 Contig_204748_37 Contig_205660_50 Contig_205692_93
## ORN 0.00000000 0.00000000 0.0000000 0.5250000
## ID 0.00000000 0.09090909 0.2467532 0.3116883
## ORS 0.32500000 0.00000000 0.0000000 0.5228758
## CA 0.37126600 0.00000000 0.0000000 0.5115385
## WY 0.09005906 0.27989822 0.2133333 0.4897870
## Contig_206044_50 Contig_206243_55 Contig_206332_64 Contig_206454_42
## ORN 0.4945055 0.5555556 0.0000000 0.5000000
## ID 0.5238095 0.0000000 0.1731602 0.5238095
## ORS 0.5250000 0.4848485 0.2637363 0.0000000
## CA 0.5012821 0.4010695 0.0000000 0.0000000
## WY 0.4842702 0.0000000 0.1993769 0.3183848
## Contig_206555_25 Contig_206659_52 Contig_207014_119 Contig_207124_83
## ORN 0.49450549 0.3626374 0.00000000 0.0000000
## ID 0.00000000 0.4789474 0.09090909 0.1731602
## ORS 0.36263736 0.2333333 0.11111111 0.0000000
## CA 0.49910873 0.5017422 0.28455285 0.4278075
## WY 0.01886792 0.5018671 0.04346405 0.0366909
## Contig_207319_33 Contig_207449_122 Contig_207518_101 Contig_207800_8
## ORN 0.0000000 0.32500000 0.2637363 0.5274725
## ID 0.1894737 0.00000000 0.3116883 0.5210526
## ORS 0.0000000 0.00000000 0.0000000 0.5228758
## CA 0.3222222 0.04761905 0.0000000 0.5121951
## WY 0.2718778 0.16960886 0.1245283 0.5009804
## Contig_207879_131 Contig_208007_72 Contig_208556_92 Contig_208655_5
## ORN 0.1428571 0.12500000 0.0000000 0.1250000
## ID 0.0000000 0.00000000 0.2467532 0.5064935
## ORS 0.2333333 0.36601307 0.5274725 0.0000000
## CA 0.3329810 0.39829303 0.4307692 0.0000000
## WY 0.0000000 0.01694915 0.2284848 0.3165290
## Contig_209649_82 Contig_209907_18 Contig_210076_68 Contig_210158_8
## ORN 0.2637363 0.1250000 0.0000000 0.32500000
## ID 0.2467532 0.4789474 0.4155844 0.20915033
## ORS 0.4090909 0.2333333 0.5250000 0.00000000
## CA 0.0000000 0.2148664 0.4181185 0.10793651
## WY 0.1433906 0.2644678 0.4480000 0.07610173
## Contig_210483_29 Contig_210911_118 Contig_211282_39 Contig_211701_100
## ORN 0.000000 0.5384615 0.32500000 0.4090909
## ID 0.000000 0.5238095 0.09090909 0.1894737
## ORS 0.000000 0.5250000 0.11111111 0.3626374
## CA 0.000000 0.5142857 0.43786295 0.4126984
## WY 0.192703 0.5050439 0.16542474 0.0832084
## Contig_211721_77 Contig_212420_67 Contig_212662_41 Contig_213047_20
## ORN 0.45833333 0.0000000 0.35555556 0.14285714
## ID 0.09090909 0.3116883 0.18947368 0.00000000
## ORS 0.45833333 0.0000000 0.00000000 0.23333333
## CA 0.31591173 0.3716609 0.05263158 0.29946524
## WY 0.11255976 0.2330532 0.10408674 0.01694915
## Contig_213380_75 Contig_213393_19 Contig_213545_17 Contig_213723_12
## ORN 0.5384615 0.0000000 0.5333333 0.5000000
## ID 0.5210526 0.0000000 0.5238095 0.3947368
## ORS 0.5274725 0.1111111 0.5294118 0.4705882
## CA 0.5128205 0.5078236 0.5105708 0.5012821
## WY 0.4837209 0.0997807 0.5034483 0.3015310
## Contig_215047_58 Contig_215937_37 Contig_216009_17 Contig_216107_116
## ORN 0.2637363 0.16666667 0.00000000 0.3626374
## ID 0.1731602 0.00000000 0.48484848 0.3368421
## ORS 0.1428571 0.20915033 0.00000000 0.2091503
## CA 0.0000000 0.32820513 0.04545455 0.5072464
## WY 0.3046037 0.05751634 0.44253968 0.3918265
## Contig_216448_55 Contig_216506_9 Contig_216624_81 Contig_216858_42
## ORN 0.0000000 0.5000000 0.1428571 0.5000000
## ID 0.4848485 0.4545455 0.4421053 0.5238095
## ORS 0.2941176 0.3660131 0.0000000 0.0000000
## CA 0.2737844 0.2508711 0.0000000 0.3716609
## WY 0.4640748 0.3368101 0.1384562 0.3817531
## Contig_217129_3 Contig_217215_67 Contig_217282_41 Contig_218032_15
## ORN 0.1428571 0.4090909 0.4000000 0.3250000
## ID 0.2467532 0.1000000 0.4848485 0.1731602
## ORS 0.3626374 0.3250000 0.2091503 0.1428571
## CA 0.0000000 0.3707665 0.4224751 0.0000000
## WY 0.1568733 0.1564537 0.5017159 0.1731634
## Contig_218187_52 Contig_218544_97 Contig_218596_41 Contig_218869_125
## ORN 0.00000000 0.5274725 0.32500000 0.45833333
## ID 0.48484848 0.3679654 0.00000000 0.00000000
## ORS 0.00000000 0.4945055 0.20915033 0.11111111
## CA 0.09291521 0.2508711 0.20613108 0.28571429
## WY 0.34651601 0.2668037 0.03251592 0.09074573
## Contig_218970_81 Contig_219075_67 Contig_219121_131 Contig_219410_29
## ORN 0.0000000 0.4945055 0.0000000 0.5274725
## ID 0.5052632 0.5263158 0.1000000 0.5210526
## ORS 0.1111111 0.5228758 0.0000000 0.2941176
## CA 0.0000000 0.4438122 0.4181185 0.0500000
## WY 0.4022520 0.5010488 0.1198730 0.4610195
## Contig_219604_19 Contig_219690_42 Contig_220262_34 Contig_220411_100
## ORN 0.5333333 0.5274725 0.5250000 0.40000000
## ID 0.5238095 0.5238095 0.1731602 0.00000000
## ORS 0.5294118 0.5294118 0.0000000 0.42483660
## CA 0.5073996 0.5116279 0.0974359 0.04545455
## WY 0.5034483 0.5040650 0.2234921 0.08041958
## Contig_220898_80 Contig_221036_3 Contig_221550_108 Contig_222849_76
## ORN 0.1428571 0.46666667 0.5357143 0.4395604
## ID 0.3116883 0.17316017 0.3250000 0.5210526
## ORS 0.5228758 0.36263736 0.5303030 0.5228758
## CA 0.5142857 0.50754936 0.4979839 0.4703833
## WY 0.1640927 0.08184847 0.4502249 0.4476886
## Contig_223416_48 Contig_223568_30 Contig_223611_35 Contig_223667_70
## ORN 0.23333333 0.5333333 0.2333333 0.0000000
## ID 0.51948052 0.5238095 0.1731602 0.3679654
## ORS 0.42483660 0.5294118 0.4583333 0.0000000
## CA 0.04761905 0.5116279 0.4936121 0.4923077
## WY 0.41950035 0.5034462 0.4085526 0.1399160
## Contig_223677_90 Contig_224080_59 Contig_224208_132 Contig_224952_66
## ORN 0.43956044 0.1250000 0.2637363 0.2333333
## ID 0.09090909 0.0000000 0.2467532 0.3947368
## ORS 0.12500000 0.2941176 0.2637363 0.1250000
## CA 0.21390374 0.5128205 0.0000000 0.3982930
## WY 0.02836588 0.0000000 0.2133333 0.3577778
## Contig_224959_112 Contig_225002_32 Contig_225166_120 Contig_225728_53
## ORN 0.4945055 0.4583333 0.0000000 0.2333333
## ID 0.3116883 0.4545455 0.4848485 0.3947368
## ORS 0.4000000 0.5228758 0.0000000 0.0000000
## CA 0.5120910 0.3982930 0.0000000 0.2148664
## WY 0.2671326 0.3898710 0.4465409 0.2905397
## Contig_225866_64 Contig_226070_108 Contig_226230_63 Contig_226309_8
## ORN 0.0000000 0.4285714 0.4090909 0.30303030
## ID 0.0000000 0.3679654 0.4248366 0.17316017
## ORS 0.5032680 0.0000000 0.3660131 0.00000000
## CA 0.4779516 0.0000000 0.5079365 0.00000000
## WY 0.0000000 0.3320755 0.4867449 0.08757298
## Contig_226603_31 Contig_226751_15 Contig_226942_22 Contig_227161_120
## ORN 0.1250000 0.5454545 0.4945055 0.3626374
## ID 0.4545455 0.3116883 0.3947368 0.4545455
## ORS 0.2941176 0.2091503 0.5032680 0.0000000
## CA 0.0000000 0.3712660 0.4779516 0.3870968
## WY 0.2382445 0.1910007 0.4341591 0.2061240
## Contig_227172_63 Contig_227399_17 Contig_227439_42 Contig_227480_102
## ORN 0.12500000 0.4395604 0.43956044 0.52500000
## ID 0.51948052 0.4545455 0.09090909 0.09090909
## ORS 0.23333333 0.5294118 0.53333333 0.40000000
## CA 0.04761905 0.5012821 0.40897436 0.39829303
## WY 0.50196078 0.3394286 0.36571429 0.17676768
## Contig_227573_7 Contig_227596_32 Contig_227771_56 Contig_228072_20
## ORN 0.3030303 0.0000000 0.0000000 0.0000000
## ID 0.4155844 0.3679654 0.0000000 0.3679654
## ORS 0.4705882 0.1250000 0.3660131 0.4395604
## CA 0.0000000 0.1846154 0.4571429 0.5133690
## WY 0.2687675 0.2980626 0.0000000 0.2391769
## Contig_228348_111 Contig_228712_68 Contig_229140_13 Contig_229497_59
## ORN 0.4848485 0.12500000 0.4666667 0.16666667
## ID 0.5194805 0.09090909 0.3660131 0.23333333
## ORS 0.5274725 0.11111111 0.1666667 0.49450549
## CA 0.3044397 0.00000000 0.4936121 0.35940803
## WY 0.4720280 0.12803609 0.4346971 0.08461419
## Contig_229513_13 Contig_229640_58 Contig_229641_55 Contig_229799_78
## ORN 0.00000000 0.5384615 0.00000000 0.0000000
## ID 0.17316017 0.4848485 0.00000000 0.3679654
## ORS 0.30303030 0.3250000 0.26373626 0.1250000
## CA 0.25087108 0.4623044 0.34139403 0.0000000
## WY 0.08496732 0.5044998 0.01923077 0.3337781
## Contig_230181_75 Contig_230301_65 Contig_230315_120 Contig_230371_59
## ORN 0.36263736 0.5000000 0.0000000 0.00000000
## ID 0.24675325 0.2467532 0.3368421 0.48484848
## ORS 0.32500000 0.2637363 0.0000000 0.29411765
## CA 0.05263158 0.0000000 0.0000000 0.05882353
## WY 0.39385651 0.1958911 0.2352502 0.34783420
## Contig_230406_66 Contig_230459_101 Contig_230904_66 Contig_230988_87
## ORN 0.4583333 0.5303030 0.1428571 0.5333333
## ID 0.4848485 0.5210526 0.1731602 0.3116883
## ORS 0.4705882 0.2333333 0.0000000 0.3626374
## CA 0.3044397 0.5076923 0.0500000 0.5115385
## WY 0.3815509 0.4443509 0.3353517 0.1936792
## Contig_231026_11 Contig_231288_42 Contig_231343_81 Contig_231407_7
## ORN 0.5274725 0.4000000 0.000000 0.4945055
## ID 0.5238095 0.5263158 0.000000 0.5064935
## ORS 0.5384615 0.2333333 0.000000 0.4583333
## CA 0.5079365 0.0500000 0.486631 0.5075494
## WY 0.4981329 0.3381656 0.000000 0.3516807
## Contig_231422_85 Contig_231519_110 Contig_231692_25 Contig_231799_33
## ORN 0.1250000 0.4945055 0.40909091 0.1250000
## ID 0.2467532 0.3116883 0.09090909 0.4789474
## ORS 0.2941176 0.5294118 0.11111111 0.2333333
## CA 0.4888889 0.5126984 0.05263158 0.0000000
## WY 0.2284848 0.2140930 0.23248475 0.3584765
## Contig_231951_21 Contig_231962_44 Contig_231989_56 Contig_232368_4
## ORN 0.0000000 0.4848485 0.5303030 0.4848485
## ID 0.0000000 0.4155844 0.5333333 0.4155844
## ORS 0.0000000 0.4705882 0.3250000 0.5384615
## CA 0.3413940 0.5012821 0.4907539 0.1493599
## WY 0.1042077 0.4628571 0.4659670 0.4125457
## Contig_232644_17 Contig_232993_56 Contig_233004_28 Contig_233301_41
## ORN 0.3250000 0.3250000 0.3626374 0.53846154
## ID 0.1731602 0.2941176 0.5052632 0.00000000
## ORS 0.2091503 0.3030303 0.4705882 0.40000000
## CA 0.0000000 0.3707665 0.4907539 0.05000000
## WY 0.1161372 0.1267737 0.5037481 0.01754386
## Contig_233469_83 Contig_233950_41 Contig_234076_10 Contig_234137_82
## ORN 0.00000000 0.0000000 0.1250000 0.0000000
## ID 0.09090909 0.3116883 0.5194805 0.3947368
## ORS 0.00000000 0.0000000 0.4000000 0.3250000
## CA 0.00000000 0.3329810 0.2961538 0.4936121
## WY 0.22381573 0.2839345 0.4852941 0.4833333
## Contig_234733_14 Contig_235079_73 Contig_235222_104 Contig_235610_84
## ORN 0.2000000 0.00000000 0.1666667 0.3626374
## ID 0.1428571 0.00000000 0.1000000 0.5294118
## ORS 0.5555556 0.23333333 0.0000000 0.5274725
## CA 0.5172414 0.37076649 0.0000000 0.4181185
## WY 0.1919794 0.01639344 0.2330532 0.3545752
## Contig_236001_31 Contig_237222_58 Contig_237236_93 Contig_237453_49
## ORN 0.4395604 0.00000000 0.0000000 0.1666667
## ID 0.4545455 0.00000000 0.3116883 0.3368421
## ORS 0.4945055 0.00000000 0.0000000 0.0000000
## CA 0.3159117 0.49075391 0.0000000 0.0000000
## WY 0.4194554 0.05170005 0.1885965 0.2109228
## Contig_237785_18 Contig_237985_103 Contig_238461_15 Contig_238586_9
## ORN 0.23333333 0.2637363 0.5000000 0.1250000
## ID 0.00000000 0.0000000 0.1000000 0.3679654
## ORS 0.11111111 0.4395604 0.5228758 0.0000000
## CA 0.47058824 0.4666667 0.5078236 0.0000000
## WY 0.09895052 0.0000000 0.2501967 0.1540616
## Contig_238685_109 Contig_239237_51 Contig_240288_84 Contig_240683_22
## ORN 0.3250000 0.0000000 0.1250000 0.00000000
## ID 0.3116883 0.3116883 0.5210526 0.09090909
## ORS 0.0000000 0.1111111 0.4705882 0.50326797
## CA 0.0000000 0.0000000 0.0000000 0.00000000
## WY 0.1486869 0.1725067 0.4276402 0.13845621
## Contig_240937_12 Contig_241316_6 Contig_242036_114 Contig_242639_5
## ORN 0.2333333 0.2333333 0.0000000 0.0000000
## ID 0.0000000 0.1731602 0.0000000 0.0000000
## ORS 0.1111111 0.2941176 0.0000000 0.0000000
## CA 0.3837209 0.0000000 0.4181185 0.5141129
## WY 0.0000000 0.1181102 0.0000000 0.0000000
## Contig_242655_59 Contig_243304_12 Contig_243309_121 Contig_243638_46
## ORN 0.0000000 0.4583333 0.4848485 0.0000000
## ID 0.3116883 0.5064935 0.3679654 0.0000000
## ORS 0.0000000 0.4705882 0.4248366 0.0000000
## CA 0.4307692 0.1423077 0.3449477 0.0000000
## WY 0.2140930 0.3561873 0.2760362 0.1759044
## Contig_243665_108 Contig_243980_18 Contig_244015_61 Contig_244192_108
## ORN 0.0000000 0.0000000 0.3555556 0.00000000
## ID 0.0000000 0.3116883 0.2467532 0.09090909
## ORS 0.0000000 0.0000000 0.2333333 0.00000000
## CA 0.4923077 0.0000000 0.0000000 0.00000000
## WY 0.0000000 0.1254902 0.1737143 0.21142857
## Contig_244716_36 Contig_244747_17 Contig_244858_68 Contig_244881_41
## ORN 0.00000000 0.0000000 0.0000000 0.0000000
## ID 0.09090909 0.1894737 0.4848485 0.1731602
## ORS 0.11111111 0.0000000 0.5333333 0.0000000
## CA 0.27311522 0.0974359 0.0500000 0.0000000
## WY 0.18922109 0.1262485 0.4759596 0.1564537
## Contig_245114_27 Contig_245131_4 Contig_245316_75 Contig_245435_50
## ORN 0.0000000 0.4848485 0.00000000 0.1428571
## ID 0.0000000 0.1894737 0.09090909 0.0000000
## ORS 0.4248366 0.5384615 0.00000000 0.0000000
## CA 0.3413940 0.5007112 0.51209104 0.0000000
## WY 0.0000000 0.1892211 0.00000000 0.1930502
## Contig_245615_123 Contig_245882_34 Contig_246237_35 Contig_246664_93
## ORN 0.0000000 0.000000 0.2333333 0.0000000
## ID 0.4848485 0.000000 0.2684211 0.0000000
## ORS 0.0000000 0.503268 0.0000000 0.4090909
## CA 0.0000000 0.341394 0.0000000 0.3913043
## WY 0.1637953 0.000000 0.1788376 0.0000000
## Contig_246960_66 Contig_247332_28 Contig_247336_42 Contig_247578_90
## ORN 0.5333333 0.12500000 0.5333333 0.2637363
## ID 0.5194805 0.09090909 0.5238095 0.4848485
## ORS 0.5228758 0.11111111 0.5294118 0.2091503
## CA 0.4365079 0.00000000 0.5116279 0.1423077
## WY 0.4763970 0.16655101 0.5034965 0.3466667
## Contig_247672_3 Contig_247744_13 Contig_247820_22 Contig_248137_120
## ORN 0.5274725 0.0000000 0.4945055 0.2333333
## ID 0.0000000 0.4545455 0.4705882 0.0000000
## ORS 0.5294118 0.0000000 0.5384615 0.2333333
## CA 0.3222222 0.0500000 0.5078236 0.3368984
## WY 0.0000000 0.4443898 0.4401544 0.2324847
## Contig_248292_92 Contig_248524_47 Contig_249222_11 Contig_249287_24
## ORN 0.4583333 0.4285714 0.0000000 0.1250000
## ID 0.5238095 0.4421053 0.4545455 0.4155844
## ORS 0.0000000 0.2333333 0.2091503 0.1111111
## CA 0.1358885 0.3555556 0.0000000 0.1024182
## WY 0.3736587 0.3484444 0.2718778 0.3785047
## Contig_249710_28 Contig_249996_26 Contig_250058_4 Contig_250145_40
## ORN 0.00000000 0.00000000 0.49450549 0.5454545
## ID 0.09090909 0.33684211 0.24675325 0.5274725
## ORS 0.26373626 0.11111111 0.50000000 0.5333333
## CA 0.41269841 0.05555556 0.28735632 0.5116279
## WY 0.00000000 0.40608663 0.09734898 0.5045872
## Contig_250575_86 Contig_250611_38 Contig_250654_32 Contig_250741_60
## ORN 0.4945055 0.3626374 0.43956044 0.0000000
## ID 0.1894737 0.3116883 0.17316017 0.1731602
## ORS 0.2941176 0.5000000 0.00000000 0.1111111
## CA 0.4779516 0.5135135 0.00000000 0.0000000
## WY 0.1787323 0.3402062 0.07757576 0.2657480
## Contig_250814_18 Contig_250927_86 Contig_251852_120 Contig_251960_69
## ORN 0.1250000 0.36263736 0.4945055 0.0000000
## ID 0.1000000 0.17316017 0.5263158 0.0000000
## ORS 0.2941176 0.42483660 0.4945055 0.2333333
## CA 0.0000000 0.26153846 0.2148664 0.4365079
## WY 0.1164856 0.06010733 0.4958730 0.0000000
## Contig_252231_12 Contig_252388_34 Contig_252412_109 Contig_252589_80
## ORN 0.5384615 0.4395604 0.0000000 0.5250000
## ID 0.4545455 0.5210526 0.0000000 0.4848485
## ORS 0.5032680 0.5333333 0.5333333 0.4705882
## CA 0.5121951 0.5115385 0.4703833 0.4438122
## WY 0.4673998 0.5046729 0.0000000 0.5018182
## Contig_252819_40 Contig_252973_91 Contig_253151_85 Contig_253738_57
## ORN 0.3626374 0.5454545 0.23333333 0.4945055
## ID 0.3679654 0.3116883 0.00000000 0.4848485
## ORS 0.0000000 0.4248366 0.20915033 0.3660131
## CA 0.0000000 0.4936121 0.38461538 0.4438122
## WY 0.3402062 0.2954779 0.01612903 0.4758170
## Contig_254176_9 Contig_254325_58 Contig_254850_51 Contig_255318_65
## ORN 0.36263736 0.4945055 0.0000000 0.4000000
## ID 0.09090909 0.3250000 0.0000000 0.4848485
## ORS 0.00000000 0.4705882 0.0000000 0.0000000
## CA 0.45528455 0.4936121 0.1571429 0.5079365
## WY 0.01818182 0.4840336 0.1640927 0.4830189
## Contig_255418_20 Contig_255980_25 Contig_256307_71 Contig_256524_11
## ORN 0.0000000 0.00000000 0.23333333 0.0000000
## ID 0.1731602 0.24675325 0.24675325 0.4848485
## ORS 0.3030303 0.11111111 0.32500000 0.0000000
## CA 0.0000000 0.08879493 0.41269841 0.0500000
## WY 0.1786061 0.17860610 0.06102362 0.4581587
## Contig_256611_122 Contig_257040_29 Contig_257179_25 Contig_257373_21
## ORN 0.0000000 0.0000000 0.1250000 0.3250000
## ID 0.3947368 0.3116883 0.1000000 0.3368421
## ORS 0.4000000 0.0000000 0.1250000 0.4395604
## CA 0.0000000 0.0000000 0.0000000 0.3086771
## WY 0.3738115 0.3282138 0.1451772 0.4977778
## Contig_257385_8 Contig_257805_113 Contig_258627_75 Contig_258993_47
## ORN 0.4395604 0.4395604 0.26373626 0.0000000
## ID 0.5064935 0.3116883 0.24675325 0.3116883
## ORS 0.4583333 0.0000000 0.00000000 0.0000000
## CA 0.0500000 0.0000000 0.04761905 0.0000000
## WY 0.3827045 0.2204724 0.08743928 0.2421569
## Contig_259326_132 Contig_259350_22 Contig_259726_23 Contig_260186_73
## ORN 0.32500000 0.1250000 0.3030303 0.0000000
## ID 0.33684211 0.0000000 0.5064935 0.5210526
## ORS 0.20915033 0.4583333 0.1111111 0.3030303
## CA 0.04761905 0.2615385 0.0000000 0.0974359
## WY 0.28089888 0.0000000 0.4330709 0.5030859
## Contig_260733_21 Contig_260970_20 Contig_261008_38 Contig_261010_97
## ORN 0.1428571 0.26373626 0.5333333 0.00000000
## ID 0.5194805 0.00000000 0.5238095 0.09090909
## ORS 0.1111111 0.53030303 0.5294118 0.00000000
## CA 0.5135135 0.38571429 0.5110337 0.16913319
## WY 0.3926671 0.03305322 0.5034943 0.22909958
## Contig_261255_46 Contig_262234_21 Contig_262658_76 Contig_263249_30
## ORN 0.00000000 0.14285714 0.0000000 0.1428571
## ID 0.48484848 0.10000000 0.0000000 0.3368421
## ORS 0.12500000 0.53846154 0.4583333 0.0000000
## CA 0.09291521 0.49910873 0.4278075 0.0000000
## WY 0.36848485 0.07610173 0.0000000 0.3694153
## Contig_263815_119 Contig_264105_65 Contig_264350_107 Contig_264550_15
## ORN 0.0000000 0.4395604 0.00000000 0.5274725
## ID 0.0000000 0.1731602 0.00000000 0.5064935
## ORS 0.0000000 0.4248366 0.00000000 0.4583333
## CA 0.5135135 0.0500000 0.27311522 0.5076923
## WY 0.0000000 0.3109091 0.09415647 0.4948454
## Contig_264822_48 Contig_264946_18 Contig_265354_72 Contig_265476_3
## ORN 0.4395604 0.5555556 0.0000000 0.0000000
## ID 0.4545455 0.5064935 0.3679654 0.3116883
## ORS 0.4945055 0.5000000 0.0000000 0.0000000
## CA 0.3449477 0.5080460 0.0500000 0.0000000
## WY 0.4003336 0.4465409 0.2884070 0.1930502
## Contig_265521_19 Contig_265581_19 Contig_265663_92 Contig_266000_60
## ORN 0.5454545 0.1250000 0.4583333 0.40000000
## ID 0.5228758 0.5064935 0.4789474 0.00000000
## ORS 0.5250000 0.5250000 0.4248366 0.12500000
## CA 0.5079365 0.5115385 0.4923077 0.22435897
## WY 0.4812356 0.5038760 0.1958911 0.03808813
## Contig_266257_13 Contig_266347_117 Contig_266797_36 Contig_267003_85
## ORN 0.4000000 0.1428571 0.0000000 0.0000000
## ID 0.5238095 0.1731602 0.0000000 0.0000000
## ORS 0.5000000 0.1111111 0.3250000 0.4395604
## CA 0.4907539 0.4866310 0.3282051 0.3982930
## WY 0.4944884 0.1377862 0.0000000 0.0000000
## Contig_267139_41 Contig_267426_96 Contig_267964_55 Contig_268125_6
## ORN 0.0000000 0.12500000 0.3626374 0.3030303
## ID 0.0000000 0.09090909 0.5064935 0.0000000
## ORS 0.1428571 0.50000000 0.5294118 0.1250000
## CA 0.4746032 0.41269841 0.5105708 0.3282051
## WY 0.0000000 0.00000000 0.4421945 0.0000000
## Contig_268705_42 Contig_269036_81 Contig_269090_70 Contig_269602_39
## ORN 0.00000000 0.4583333 0.00000000 0.2637363
## ID 0.31168831 0.2467532 0.39473684 0.1731602
## ORS 0.00000000 0.4705882 0.00000000 0.1428571
## CA 0.04761905 0.5012821 0.09291521 0.2508711
## WY 0.50196850 0.3278973 0.27591973 0.2251201
## Contig_269874_130 Contig_270167_64 Contig_270616_42 Contig_270874_12
## ORN 0.0000000 0.2000000 0.3555556 0.2637363
## ID 0.3116883 0.5064935 0.4705882 0.4545455
## ORS 0.0000000 0.4090909 0.4285714 0.0000000
## CA 0.0000000 0.3857143 0.3449477 0.3846154
## WY 0.3817531 0.5037567 0.3499035 0.4939715
## Contig_271491_65 Contig_272249_16 Contig_272678_9 Contig_273412_76
## ORN 0.5333333 0.14285714 0.0 0.0000000
## ID 0.5238095 0.09090909 0.0 0.0000000
## ORS 0.5250000 0.43956044 0.0 0.4945055
## CA 0.4623044 0.08879493 0.5 0.5021142
## WY 0.4364146 0.19891220 0.0 0.0000000
## Contig_273729_68 Contig_274086_30 Contig_274713_96 Contig_274728_61
## ORN 0.52747253 0.4945055 0.4395604 0.4395604
## ID 0.10000000 0.5294118 0.3679654 0.5064935
## ORS 0.36263736 0.4583333 0.1250000 0.1250000
## CA 0.51162791 0.4807692 0.0000000 0.0974359
## WY 0.08151034 0.4235294 0.1408805 0.4765886
## Contig_274994_20 Contig_275248_78 Contig_275419_46 Contig_275483_116
## ORN 0.5384615 0.43956044 0.5333333 0.14285714
## ID 0.5238095 0.09090909 0.4545455 0.00000000
## ORS 0.5228758 0.12500000 0.0000000 0.23333333
## CA 0.5105708 0.00000000 0.4224751 0.51209104
## WY 0.4919499 0.13915385 0.3061541 0.02040816
## Contig_275862_76 Contig_276313_106 Contig_276470_76 Contig_277059_91
## ORN 0.00000000 0.40000000 0.4090909 0.43956044
## ID 0.24675325 0.41558442 0.4155844 0.10000000
## ORS 0.20915033 0.43956044 0.0000000 0.00000000
## CA 0.33298097 0.05555556 0.0000000 0.24603175
## WY 0.08743928 0.45577211 0.3950525 0.05260618
## Contig_277098_77 Contig_277162_16 Contig_277964_57 Contig_278100_68
## ORN 0.5000000 0.2000000 0.36263736 0.0000000
## ID 0.5294118 0.5064935 0.09090909 0.1731602
## ORS 0.0000000 0.3250000 0.32500000 0.0000000
## CA 0.2148664 0.4224751 0.42247511 0.0000000
## WY 0.5039806 0.4910759 0.00000000 0.2070463
## Contig_278179_46 Contig_278787_25 Contig_279152_74 Contig_279339_120
## ORN 0.3030303 0.14285714 0.2333333 0.4000000
## ID 0.1731602 0.36796537 0.4545455 0.0000000
## ORS 0.2941176 0.00000000 0.4248366 0.2333333
## CA 0.2731152 0.04545455 0.3528226 0.3159117
## WY 0.3151161 0.33166369 0.3078947 0.1357199
## Contig_279393_27 Contig_279524_96 Contig_279633_4 Contig_279678_31
## ORN 0.2637363 0.4090909 0.4000000 0.4945055
## ID 0.1731602 0.5238095 0.0000000 0.5052632
## ORS 0.0000000 0.1428571 0.4248366 0.4945055
## CA 0.0000000 0.3707665 0.2410148 0.2031746
## WY 0.3337781 0.3860477 0.0000000 0.2434405
## Contig_279730_97 Contig_279840_22 Contig_279876_12 Contig_279997_57
## ORN 0.50000000 0.0000000 0.0000000 0.14285714
## ID 0.00000000 0.5052632 0.1731602 0.09090909
## ORS 0.20915033 0.2091503 0.2091503 0.00000000
## CA 0.18461538 0.4307692 0.5115385 0.48663102
## WY 0.05260618 0.3829858 0.3453947 0.01851852
## Contig_280268_64 Contig_280608_37 Contig_280722_30 Contig_280849_16
## ORN 0.30303030 0.4945055 0.5274725 0.4395604
## ID 0.00000000 0.1894737 0.4848485 0.1111111
## ORS 0.14285714 0.2091503 0.3660131 0.1250000
## CA 0.28455285 0.3222222 0.3282051 0.0000000
## WY 0.09142857 0.1366228 0.4939715 0.2013465
## Contig_281064_120 Contig_281307_4 Contig_281361_87 Contig_281446_67
## ORN 0.1428571 0.3626374 0.4395604 0.0000000
## ID 0.4421053 0.4421053 0.5333333 0.1894737
## ORS 0.3626374 0.2333333 0.4666667 0.0000000
## CA 0.2508711 0.5115385 0.5120910 0.0000000
## WY 0.4227865 0.4301718 0.4902066 0.2619398
## Contig_281700_48 Contig_281803_14 Contig_282913_16 Contig_283424_133
## ORN 0.3250000 0.5000000 0.4000000 0.1666667
## ID 0.3679654 0.3368421 0.3679654 0.1000000
## ORS 0.0000000 0.4395604 0.0000000 0.1250000
## CA 0.0000000 0.1934566 0.0000000 0.0000000
## WY 0.4260965 0.3310345 0.2404293 0.1316566
## Contig_283709_79 Contig_283741_35 Contig_283933_66 Contig_283976_15
## ORN 0.1250000 0.50000000 0.5274725 0.5000000
## ID 0.3679654 0.17316017 0.4545455 0.3116883
## ORS 0.0000000 0.00000000 0.2941176 0.4583333
## CA 0.0000000 0.05263158 0.1024182 0.5012821
## WY 0.2146657 0.21374178 0.5040000 0.3544621
## Contig_284030_54 Contig_284143_55 Contig_284144_110 Contig_284160_18
## ORN 0.0000000 0.5454545 0.00000000 0.5303030
## ID 0.1894737 0.5238095 0.00000000 0.4155844
## ORS 0.0000000 0.5294118 0.52500000 0.4705882
## CA 0.1079365 0.5116279 0.05555556 0.3368984
## WY 0.1040867 0.5005997 0.05451713 0.4097035
## Contig_284773_121 Contig_284988_76 Contig_284993_40 Contig_285066_49
## ORN 0.3626374 0.3626374 0.1428571 0.4395604
## ID 0.4155844 0.2467532 0.4545455 0.2467532
## ORS 0.5228758 0.1428571 0.1428571 0.4945055
## CA 0.5126984 0.1024182 0.5080214 0.5126984
## WY 0.5033173 0.3466667 0.2314465 0.3320755
## Contig_285261_20 Contig_285373_32 Contig_285469_128 Contig_285586_79
## ORN 0.3626374 0.00000000 0.2333333 0.4090909
## ID 0.0000000 0.39473684 0.0000000 0.3947368
## ORS 0.0000000 0.20915033 0.3626374 0.2333333
## CA 0.0000000 0.04545455 0.2347084 0.0000000
## WY 0.2598134 0.44607843 0.0000000 0.4421945
## Contig_285906_82 Contig_286363_59 Contig_286613_93 Contig_286771_21
## ORN 0.0000000 0.1250000 0.2637363 0.0000000
## ID 0.1894737 0.0000000 0.3116883 0.2467532
## ORS 0.0000000 0.4583333 0.0000000 0.1250000
## CA 0.0000000 0.2460317 0.0000000 0.0000000
## WY 0.2468571 0.1516264 0.1614656 0.2994738
## Contig_286882_21 Contig_287120_65 Contig_287149_68 Contig_287186_97
## ORN 0.0000000 0.0000000 0.0000000 0.36263736
## ID 0.1731602 0.4848485 0.4545455 0.10000000
## ORS 0.0000000 0.0000000 0.2941176 0.12500000
## CA 0.0000000 0.0000000 0.0974359 0.00000000
## WY 0.2340734 0.3572063 0.3847690 0.09836601
## Contig_287239_128 Contig_287676_20 Contig_287949_11 Contig_289065_44
## ORN 0.0000000 0.4090909 0.53030303 0.5274725
## ID 0.1731602 0.3116883 0.09090909 0.4421053
## ORS 0.2941176 0.3626374 0.32500000 0.5250000
## CA 0.2061311 0.3222222 0.48663102 0.4126984
## WY 0.2905397 0.2256937 0.07344437 0.4512939
## Contig_289552_37 Contig_290027_47 Contig_290130_36 Contig_290492_29
## ORN 0.5384615 0.5274725 0.1250000 0.3626374
## ID 0.5238095 0.4848485 0.4155844 0.0000000
## ORS 0.5333333 0.5032680 0.3660131 0.0000000
## CA 0.5076923 0.0000000 0.0000000 0.4438122
## WY 0.4928571 0.3785047 0.3080504 0.0000000
## Contig_290902_9 Contig_291052_97 Contig_291478_23 Contig_291652_28
## ORN 0.3030303 0.2637363 0.1666667 0.00000000
## ID 0.1000000 0.4848485 0.5238095 0.39473684
## ORS 0.1666667 0.5032680 0.4395604 0.00000000
## CA 0.0974359 0.3282051 0.5007112 0.05263158
## WY 0.1787323 0.3791209 0.4721413 0.19367919
## Contig_292159_9 Contig_292616_79 Contig_292930_34 Contig_293337_26
## ORN 0.4395604 0.30303030 0.0000000 0.25000000
## ID 0.2467532 0.18947368 0.2467532 0.00000000
## ORS 0.3626374 0.54545455 0.3660131 0.35555556
## CA 0.4365079 0.50806452 0.3982930 0.50782361
## WY 0.3410795 0.01754386 0.3892665 0.04685714
## Contig_293495_78 Contig_294018_28 Contig_294831_93 Contig_295691_93
## ORN 0.5384615 0.5274725 0.4000000 0.12500000
## ID 0.5238095 0.4155844 0.0000000 0.10000000
## ORS 0.5032680 0.5032680 0.0000000 0.12500000
## CA 0.5017422 0.5080214 0.4907539 0.05263158
## WY 0.5044612 0.4954378 0.0000000 0.17900310
## Contig_295710_40 Contig_296200_74 Contig_296502_78 Contig_296979_19
## ORN 0.0000000 0.5333333 0.5000000 0.0000000
## ID 0.3116883 0.4421053 0.3116883 0.0000000
## ORS 0.0000000 0.2333333 0.1250000 0.2333333
## CA 0.0000000 0.0974359 0.3846154 0.5075494
## WY 0.1228182 0.2935003 0.2873594 0.0000000
## Contig_297030_123 Contig_297927_14 Contig_297941_8 Contig_298050_39
## ORN 0.00000000 0.52747253 0.5274725 0.45833333
## ID 0.10000000 0.00000000 0.4421053 0.09090909
## ORS 0.47058824 0.50326797 0.4848485 0.29411765
## CA 0.26153846 0.51282051 0.3528226 0.45714286
## WY 0.07610173 0.09005906 0.4463277 0.27298748
## Contig_298516_59 Contig_298530_11 Contig_298596_57 Contig_298642_25
## ORN 0.0000000 0.0000000 0.00000000 0.4583333
## ID 0.4545455 0.1731602 0.09090909 0.0000000
## ORS 0.2637363 0.1111111 0.00000000 0.5294118
## CA 0.3329810 0.1024182 0.00000000 0.4623044
## WY 0.4643791 0.2174502 0.22349206 0.1384562
## Contig_299732_89 Contig_299762_44 Contig_300043_58 Contig_300182_97
## ORN 0.4848485 0.23333333 0.40909091 0.26373626
## ID 0.2467532 0.09090909 0.09090909 0.50649351
## ORS 0.5000000 0.52747253 0.00000000 0.11111111
## CA 0.4705882 0.51103368 0.48663102 0.09291521
## WY 0.2352502 0.19777778 0.03053071 0.48622816
## Contig_300305_107 Contig_300674_39 Contig_302034_60 Contig_302417_25
## ORN 0.36263736 0.3250000 0.1428571 0.1428571
## ID 0.00000000 0.1894737 0.4421053 0.0000000
## ORS 0.53846154 0.2091503 0.4705882 0.4705882
## CA 0.51269841 0.5076923 0.2243590 0.3716609
## WY 0.01923077 0.1679272 0.3577778 0.1070822
## Contig_302423_23 Contig_302492_134 Contig_302674_77 Contig_303024_26
## ORN 0.0000000 0.1250000 0.52747253 0.32500000
## ID 0.4155844 0.4421053 0.09090909 0.17316017
## ORS 0.0000000 0.0000000 0.53333333 0.00000000
## CA 0.1934566 0.0000000 0.04761905 0.14935989
## WY 0.4348670 0.1961635 0.20485029 0.06949807
## Contig_303139_19 Contig_303146_76 Contig_303965_62 Contig_304483_111
## ORN 0.0000000 0.4395604 0.5000000 0.00000000
## ID 0.0000000 0.1731602 0.3116883 0.09090909
## ORS 0.1250000 0.5228758 0.5384615 0.11111111
## CA 0.0974359 0.4500000 0.4779516 0.43076923
## WY 0.2492532 0.1640927 0.4003336 0.18859649
## Contig_304522_46 Contig_304654_26 Contig_304670_7 Contig_304939_69
## ORN 0.0000000 0.5000000 0.1250000 0.40
## ID 0.1111111 0.5238095 0.1731602 0.00
## ORS 0.1666667 0.5333333 0.2091503 0.00
## CA 0.0000000 0.5012821 0.0000000 0.00
## WY 0.3326331 0.4964137 0.0832084 0.28
## Contig_305092_76 Contig_305310_82 Contig_305563_10 Contig_306031_11
## ORN 0.2333333 0.00000000 0.1666667 0.3250000
## ID 0.5032680 0.48484848 0.4000000 0.3116883
## ORS 0.3030303 0.00000000 0.2637363 0.0000000
## CA 0.4571429 0.04761905 0.3449477 0.0000000
## WY 0.3552243 0.19107102 0.2575758 0.3650587
## Contig_306457_42 Contig_306537_123 Contig_306702_12 Contig_306845_11
## ORN 0.00000000 0.0000000 0.3250000 0.2637363
## ID 0.00000000 0.1731602 0.2467532 0.1731602
## ORS 0.42483660 0.0000000 0.3626374 0.5250000
## CA 0.32820513 0.0000000 0.0000000 0.4746032
## WY 0.04108392 0.2656679 0.1877808 0.3019608
## Contig_307015_65 Contig_307050_103 Contig_307205_23 Contig_308088_97
## ORN 0.5333333 0.1428571 0.0000000 0.0000000
## ID 0.4848485 0.3116883 0.1731602 0.2467532
## ORS 0.5000000 0.2941176 0.0000000 0.3626374
## CA 0.4947146 0.0000000 0.0000000 0.2139037
## WY 0.5029697 0.3552243 0.1679272 0.2715152
## Contig_308676_130 Contig_308679_45 Contig_308814_70 Contig_308876_58
## ORN 0.6000000 0.36263736 0.26373626 0.0000000
## ID 0.5000000 0.09090909 0.00000000 0.2467532
## ORS 0.5303030 0.40000000 0.50000000 0.3660131
## CA 0.3837209 0.48387097 0.43786295 0.3555556
## WY 0.3979136 0.20704633 0.01923077 0.3046158
## Contig_309013_85 Contig_309053_4 Contig_309979_107 Contig_310496_73
## ORN 0.5333333 0.4945055 0.5274725 0.4000000
## ID 0.5238095 0.4421053 0.3116883 0.5064935
## ORS 0.5294118 0.5274725 0.2333333 0.2941176
## CA 0.5116279 0.1657754 0.3086771 0.1358885
## WY 0.5034483 0.3918265 0.4033242 0.3785047
## Contig_310779_58 Contig_311502_44 Contig_312236_37 Contig_313054_35
## ORN 0.0000000 0.0000000 0.14285714 0.3626374
## ID 0.2467532 0.0000000 0.17316017 0.0000000
## ORS 0.5000000 0.0000000 0.26373626 0.0000000
## CA 0.2148664 0.5080214 0.23470839 0.0000000
## WY 0.1654247 0.0000000 0.05451713 0.1262485
## Contig_313064_41 Contig_313139_68 Contig_313462_16 Contig_313574_30
## ORN 0.2637363 0.4395604 0.32500000 0.00000000
## ID 0.3368421 0.4155844 0.09090909 0.09090909
## ORS 0.1250000 0.3660131 0.00000000 0.11111111
## CA 0.5120910 0.5115385 0.00000000 0.00000000
## WY 0.2434405 0.3268144 0.25601615 0.21735755
## Contig_314052_51 Contig_314426_50 Contig_314519_61 Contig_314866_32
## ORN 0.26373626 0.4583333 0.5384615 0.4945055
## ID 0.09090909 0.4421053 0.3679654 0.0000000
## ORS 0.00000000 0.4583333 0.4583333 0.2091503
## CA 0.48888889 0.4438122 0.4666667 0.3413940
## WY 0.00000000 0.3876774 0.4777932 0.0000000
## Contig_315003_83 Contig_315075_54 Contig_315105_127 Contig_315209_66
## ORN 0.0000000 0.4945055 0.1250000 0.2000000
## ID 0.2467532 0.4155844 0.2467532 0.3947368
## ORS 0.2333333 0.0000000 0.1250000 0.0000000
## CA 0.2994652 0.3159117 0.0000000 0.0000000
## WY 0.2414330 0.4632477 0.1207962 0.4085071
## Contig_315291_61 Contig_315335_8 Contig_315588_24 Contig_315700_82
## ORN 0.00000000 0.5000000 0.4395604 0.0000000
## ID 0.17316017 0.5194805 0.5263158 0.0000000
## ORS 0.45833333 0.1111111 0.5294118 0.5000000
## CA 0.21486643 0.3086771 0.5116279 0.4365079
## WY 0.06294256 0.4622807 0.4985612 0.0000000
## Contig_315803_17 Contig_316510_68 Contig_316737_39 Contig_316867_16
## ORN 0.12500000 0.3030303 0.3250000 0.1428571
## ID 0.39473684 0.5052632 0.4789474 0.5032680
## ORS 0.00000000 0.1428571 0.3250000 0.0000000
## CA 0.05263158 0.1024182 0.5073996 0.1493599
## WY 0.26371977 0.5028849 0.5035903 0.5004170
## Contig_316969_112 Contig_317193_52 Contig_317297_22 Contig_317762_61
## ORN 0.5384615 0.0000000 0.45833333 0.3030303
## ID 0.5263158 0.2467532 0.24675325 0.3116883
## ORS 0.5294118 0.0000000 0.11111111 0.5294118
## CA 0.5116279 0.1423077 0.08879493 0.4500000
## WY 0.5019571 0.3302271 0.28463612 0.3207547
## Contig_317851_34 Contig_318159_92 Contig_319409_97 Contig_320239_21
## ORN 0.3626374 0.5357143 0.0000000 0.0000000
## ID 0.0000000 0.5052632 0.2091503 0.0000000
## ORS 0.4000000 0.4945055 0.0000000 0.0000000
## CA 0.0000000 0.4888889 0.1691332 0.0000000
## WY 0.1459911 0.5043436 0.1338481 0.2173576
## Contig_320246_40 Contig_320357_22 Contig_320499_74 Contig_320647_28
## ORN 0.3626374 0.49450549 0.50000000 0.0000000
## ID 0.3679654 0.09090909 0.42483660 0.2684211
## ORS 0.3660131 0.00000000 0.40000000 0.1666667
## CA 0.0974359 0.00000000 0.09291521 0.0000000
## WY 0.1596341 0.21187297 0.37393307 0.1993769
## Contig_320959_127 Contig_321182_12 Contig_321469_104 Contig_321668_15
## ORN 0.3626374 0.0000000 0.5274725 0.00000000
## ID 0.3116883 0.0000000 0.0000000 0.09090909
## ORS 0.2637363 0.1428571 0.5274725 0.00000000
## CA 0.0000000 0.5000000 0.5126984 0.34139403
## WY 0.0319958 0.0000000 0.2241868 0.03882741
## Contig_322307_24 Contig_322316_21 Contig_322605_6 Contig_322877_101
## ORN 0.14285714 0.12500000 0.0000000 0.4848485
## ID 0.09090909 0.09090909 0.3679654 0.3679654
## ORS 0.00000000 0.11111111 0.0000000 0.4848485
## CA 0.00000000 0.08879493 0.0000000 0.5078236
## WY 0.15645372 0.26574803 0.2398801 0.4528302
## Contig_323095_118 Contig_323366_12 Contig_323569_52 Contig_324020_44
## ORN 0.3626374 0.4395604 0.52500000 0.4945055
## ID 0.4545455 0.0000000 0.09090909 0.4789474
## ORS 0.5032680 0.2333333 0.53333333 0.5250000
## CA 0.3449477 0.4907539 0.50769231 0.1846154
## WY 0.3657143 0.0200000 0.17316342 0.2070463
## Contig_324056_50 Contig_324436_65 Contig_324976_79 Contig_325205_44
## ORN 0.0000000 0.2637363 0.4945055 0.4945055
## ID 0.0000000 0.3116883 0.2467532 0.4545455
## ORS 0.2941176 0.1428571 0.2637363 0.5032680
## CA 0.3044397 0.5012821 0.4571429 0.2615385
## WY 0.1790031 0.3136669 0.2234921 0.4776939
## Contig_325534_26 Contig_325684_14 Contig_325755_14 Contig_325797_28
## ORN 0.26373626 0.0000000 0.0000000 0.5384615
## ID 0.50649351 0.5228758 0.4155844 0.5064935
## ORS 0.36263736 0.2333333 0.0000000 0.4248366
## CA 0.05263158 0.0974359 0.2508711 0.3846154
## WY 0.49829290 0.4855368 0.2229547 0.4266409
## Contig_326047_30 Contig_326504_75 Contig_326536_70 Contig_326907_22
## ORN 0.3250000 0.0000000 0.00000000 0.5250000
## ID 0.4848485 0.2467532 0.00000000 0.0000000
## ORS 0.0000000 0.5228758 0.00000000 0.5250000
## CA 0.1846154 0.2243590 0.35555556 0.5076923
## WY 0.4207677 0.3136669 0.05451713 0.0000000
## Contig_327873_76 Contig_328230_90 Contig_328530_66 Contig_328963_11
## ORN 0.00000000 0.2333333 0.4945055 0.00000000
## ID 0.36796537 0.0000000 0.5032680 0.31168831
## ORS 0.00000000 0.5000000 0.5384615 0.16666667
## CA 0.04545455 0.2347084 0.3282051 0.05882353
## WY 0.16887299 0.0000000 0.4633205 0.24523810
## Contig_329214_32 Contig_329905_103 Contig_330136_38 Contig_330330_8
## ORN 0.53846154 0.52500000 0.4000000 0.5333333
## ID 0.48484848 0.52105263 0.5064935 0.5238095
## ORS 0.00000000 0.26373626 0.2941176 0.5294118
## CA 0.04545455 0.05555556 0.0000000 0.5115385
## WY 0.40357782 0.45465559 0.4704957 0.5031465
## Contig_330343_70 Contig_330647_67 Contig_330907_115 Contig_331215_50
## ORN 0.3626374 0.52747253 0.5250000 0.3250000
## ID 0.3368421 0.17316017 0.5238095 0.3679654
## ORS 0.0000000 0.00000000 0.5384615 0.4583333
## CA 0.2961538 0.04545455 0.5121951 0.4126984
## WY 0.1993769 0.04108392 0.5041739 0.1384562
## Contig_331792_37 Contig_331862_45 Contig_332095_54 Contig_332149_23
## ORN 0.23333333 0.26373626 0.0000000 0.0000000
## ID 0.09090909 0.09090909 0.0000000 0.5263158
## ORS 0.36601307 0.52500000 0.0000000 0.1250000
## CA 0.47038328 0.37126600 0.5135135 0.0000000
## WY 0.00000000 0.06937307 0.0000000 0.4907344
## Contig_332230_17 Contig_332346_59 Contig_332437_131 Contig_332641_115
## ORN 0.5303030 0.2333333 0.0000000 0.00000000
## ID 0.1250000 0.1731602 0.3116883 0.00000000
## ORS 0.5250000 0.1250000 0.0000000 0.12500000
## CA 0.4657258 0.2460317 0.1423077 0.47058824
## WY 0.4044444 0.2103420 0.2061240 0.09241972
## Contig_333262_58 Contig_333632_5 Contig_334087_66 Contig_334669_5
## ORN 0.5555556 0.14285714 0.1666667 0.3626374
## ID 0.4705882 0.09090909 0.1731602 0.5228758
## ORS 0.5000000 0.40000000 0.3660131 0.4945055
## CA 0.3159117 0.50782361 0.2061311 0.5076923
## WY 0.2385261 0.00000000 0.2558635 0.5030859
## Contig_334671_39 Contig_334987_38 Contig_335182_15 Contig_335232_37
## ORN 0.36263736 0.49450549 0.5000000 0.5250000
## ID 0.24675325 0.00000000 0.1731602 0.0000000
## ORS 0.00000000 0.52941176 0.4248366 0.1111111
## CA 0.05882353 0.47357294 0.5135135 0.0000000
## WY 0.18514622 0.04052905 0.3990196 0.1235605
## Contig_335649_89 Contig_336421_123 Contig_336509_127 Contig_336534_18
## ORN 0.5274725 0.1250000 0.00000000 0.4395604
## ID 0.1731602 0.0000000 0.45454545 0.3116883
## ORS 0.5333333 0.0000000 0.12500000 0.0000000
## CA 0.4831591 0.4089744 0.05882353 0.0000000
## WY 0.0768254 0.0000000 0.23055426 0.1543860
## Contig_337098_40 Contig_337481_22 Contig_338367_75 Contig_338521_6
## ORN 0.3250000 0.1428571 0.4848485 0.0000000
## ID 0.5064935 0.1000000 0.4545455 0.0000000
## ORS 0.1111111 0.4945055 0.5250000 0.1428571
## CA 0.3857143 0.4746032 0.3857143 0.0000000
## WY 0.5000000 0.1839321 0.3782609 0.1787323
## Contig_338537_52 Contig_339045_61 Contig_339049_90 Contig_339081_72
## ORN 0.32500000 0.0000000 0.4395604 0.0000000
## ID 0.00000000 0.2467532 0.4155844 0.1731602
## ORS 0.00000000 0.4090909 0.3250000 0.0000000
## CA 0.37076649 0.0500000 0.5080214 0.0000000
## WY 0.01851852 0.1497821 0.2890217 0.1725067
## Contig_339115_82 Contig_339578_100 Contig_339633_74 Contig_339972_97
## ORN 0.00000000 0.5000000 0.43956044 0.2333333
## ID 0.09090909 0.4705882 0.00000000 0.2467532
## ORS 0.29411765 0.5333333 0.47058824 0.2941176
## CA 0.00000000 0.5007112 0.35555556 0.5017422
## WY 0.11628629 0.3986672 0.05260618 0.2687675
## Contig_340004_122 Contig_340281_63 Contig_340363_47 Contig_340667_29
## ORN 0.0000000 0.0000000 0.0000000 0.1250000
## ID 0.2467532 0.1000000 0.0000000 0.4155844
## ORS 0.4395604 0.1250000 0.0000000 0.2091503
## CA 0.0625000 0.4509804 0.4059197 0.0000000
## WY 0.0959596 0.0000000 0.1245098 0.3022876
## Contig_341476_65 Contig_342816_57 Contig_343284_73 Contig_343387_32
## ORN 0.5274725 0.3626374 0.0000000 0.3555556
## ID 0.2467532 0.3947368 0.0000000 0.2091503
## ORS 0.5000000 0.0000000 0.3250000 0.2637363
## CA 0.3982930 0.2243590 0.4779516 0.4224751
## WY 0.4494445 0.1391539 0.1361134 0.2846361
## Contig_343616_70 Contig_343942_76 Contig_343992_82 Contig_345255_19
## ORN 0.1428571 0.4945055 0.0000000 0.14285714
## ID 0.3679654 0.4848485 0.3368421 0.09090909
## ORS 0.4000000 0.5000000 0.1111111 0.12500000
## CA 0.0000000 0.5079365 0.0974359 0.00000000
## WY 0.4468085 0.4791111 0.2956305 0.17316342
## Contig_345521_18 Contig_346014_99 Contig_346121_54 Contig_346228_18
## ORN 0.00000000 0.3030303 0.5274725 0.00000000
## ID 0.00000000 0.3368421 0.5052632 0.00000000
## ORS 0.32500000 0.4000000 0.2333333 0.29411765
## CA 0.28571429 0.4907539 0.3044397 0.31591173
## WY 0.01886792 0.1961635 0.5004826 0.03053071
## Contig_346531_121 Contig_346696_6 Contig_346950_13 Contig_346979_76
## ORN 0.0000000 0.5250000 0.2333333 0.1428571
## ID 0.3368421 0.3368421 0.5228758 0.2467532
## ORS 0.3626374 0.5228758 0.5000000 0.4583333
## CA 0.4703833 0.5141129 0.1024182 0.2508711
## WY 0.3629287 0.1443778 0.4033242 0.2208738
## Contig_347263_6 Contig_347590_59 Contig_347603_6 Contig_347693_128
## ORN 0.36263736 0.0000000 0.0000000 0.0000000
## ID 0.09090909 0.0000000 0.3116883 0.2467532
## ORS 0.47058824 0.1250000 0.0000000 0.0000000
## CA 0.51057082 0.4807692 0.0000000 0.0000000
## WY 0.10567211 0.0000000 0.2850505 0.1366228
## Contig_347806_37 Contig_348150_19 Contig_348151_11 Contig_348227_81
## ORN 0.0000000 0.1250000 0.4000000 0.5333333
## ID 0.0000000 0.0000000 0.3679654 0.5238095
## ORS 0.4583333 0.2091503 0.1111111 0.5294118
## CA 0.4181185 0.1423077 0.2031746 0.4923077
## WY 0.0000000 0.1337143 0.2904921 0.5028297
## Contig_348454_94 Contig_348542_48 Contig_348593_47 Contig_348642_51
## ORN 0.3030303 0.0000000 0.0000000 0.1250000
## ID 0.3368421 0.0000000 0.2467532 0.0000000
## ORS 0.5250000 0.2941176 0.3250000 0.1111111
## CA 0.2994652 0.3716609 0.5007112 0.5079365
## WY 0.3254294 0.0000000 0.1712598 0.0000000
## Contig_348769_76 Contig_349589_110 Contig_349636_79 Contig_349679_7
## ORN 0.5274725 0.40000000 0.3626374 0.5000000
## ID 0.4545455 0.00000000 0.1731602 0.3679654
## ORS 0.4583333 0.45833333 0.0000000 0.4248366
## CA 0.2857143 0.45977011 0.1358885 0.5161290
## WY 0.3254294 0.03477721 0.2078431 0.3341201
## Contig_350338_30 Contig_350394_23 Contig_350748_51 Contig_351693_10
## ORN 0.0000000 0.43956044 0.1250000 0.4395604
## ID 0.0000000 0.48484848 0.2467532 0.0000000
## ORS 0.1428571 0.11111111 0.0000000 0.0000000
## CA 0.0000000 0.04761905 0.0000000 0.1079365
## WY 0.2007496 0.36601073 0.2911765 0.1315152
## Contig_352295_88 Contig_352345_31 Contig_352993_22 Contig_353041_125
## ORN 0.4090909 0.4090909 0.4000000 0.2500000
## ID 0.4248366 0.0000000 0.4545455 0.0000000
## ORS 0.5250000 0.3626374 0.2941176 0.1111111
## CA 0.4888889 0.3159117 0.3712660 0.0000000
## WY 0.4557721 0.1262485 0.4222947 0.3229358
## Contig_353737_31 Contig_354284_17 Contig_354956_9 Contig_355061_104
## ORN 0.0000000 0.2333333 0.1428571 0.5333333
## ID 0.5052632 0.1731602 0.4545455 0.1111111
## ORS 0.2637363 0.0000000 0.0000000 0.5032680
## CA 0.0000000 0.2139037 0.3576923 0.4224751
## WY 0.4819040 0.1717105 0.1408805 0.3544621
## Contig_355188_42 Contig_355441_45 Contig_355468_79 Contig_356034_29
## ORN 0.0000000 0.0000000 0.3030303 0.26373626
## ID 0.2684211 0.1731602 0.5064935 0.00000000
## ORS 0.1250000 0.0000000 0.5228758 0.40000000
## CA 0.3857143 0.0000000 0.5080214 0.50000000
## WY 0.2508757 0.1361134 0.4914736 0.01960784
## Contig_356744_78 Contig_356781_74 Contig_356921_100 Contig_356999_48
## ORN 0.2637363 0.0000000 0.12500000 0.0000000
## ID 0.5064935 0.1000000 0.09090909 0.2467532
## ORS 0.4848485 0.0000000 0.00000000 0.0000000
## CA 0.0500000 0.2994652 0.29615385 0.0000000
## WY 0.4944884 0.1943312 0.20784314 0.1337143
## Contig_357351_57 Contig_357536_44 Contig_358486_34 Contig_358562_37
## ORN 0.5250000 0.1250000 0.0000000 0.5384615
## ID 0.3679654 0.0000000 0.4848485 0.3679654
## ORS 0.2941176 0.1111111 0.0000000 0.5294118
## CA 0.2243590 0.0000000 0.0000000 0.2615385
## WY 0.2935352 0.2133333 0.3617126 0.3493143
## Contig_358733_105 Contig_359220_24 Contig_359225_6 Contig_359325_111
## ORN 0.43956044 0.5250000 0.2333333 0.0000000
## ID 0.09090909 0.5210526 0.4848485 0.0000000
## ORS 0.23333333 0.2091503 0.1250000 0.5000000
## CA 0.31591173 0.4224751 0.0000000 0.5128205
## WY 0.00000000 0.4312514 0.4517439 0.0000000
## Contig_359373_101 Contig_359465_68 Contig_359917_89 Contig_360887_12
## ORN 0.1666667 0.00000000 0.4666667 0.16666667
## ID 0.3947368 0.00000000 0.1731602 0.11111111
## ORS 0.5228758 0.42483660 0.1111111 0.36263736
## CA 0.3576923 0.09291521 0.4703833 0.27076923
## WY 0.0296263 0.19003260 0.2279641 0.03305322
## Contig_360908_48 Contig_361171_109 Contig_361274_100 Contig_361534_52
## ORN 0.0000000 0.3626374 0.0000000 0.4848485
## ID 0.0000000 0.0000000 0.0000000 0.5238095
## ORS 0.0000000 0.4583333 0.2000000 0.5000000
## CA 0.1423077 0.1846154 0.0500000 0.4779516
## WY 0.1737143 0.0000000 0.1943312 0.4997807
## Contig_361638_33 Contig_361942_44 Contig_362652_105 Contig_363017_12
## ORN 0.2333333 0.4395604 0.1250000 0.5454545
## ID 0.4155844 0.1000000 0.4705882 0.4545455
## ORS 0.2941176 0.0000000 0.5032680 0.4945055
## CA 0.2994652 0.0000000 0.3282051 0.5121951
## WY 0.3965040 0.2587601 0.4714921 0.4937143
## Contig_363321_103 Contig_363411_111 Contig_363478_113 Contig_363814_72
## ORN 0.5250000 0.4945055 0.0000000 0.1428571
## ID 0.5064935 0.1894737 0.1000000 0.0000000
## ORS 0.2941176 0.3660131 0.1250000 0.3626374
## CA 0.4907539 0.2243590 0.4126984 0.2737844
## WY 0.5031740 0.2547594 0.0000000 0.1885965
## Contig_364296_61 Contig_364954_63 Contig_365463_9 Contig_365672_35
## ORN 0.1428571 0.0000000 0.43956044 0.5000000
## ID 0.3679654 0.1731602 0.36601307 0.5064935
## ORS 0.5274725 0.4248366 0.00000000 0.4705882
## CA 0.3857143 0.2061311 0.04545455 0.4866310
## WY 0.3886869 0.3410795 0.50100497 0.4639175
## Contig_366081_33 Contig_366166_125 Contig_366820_39 Contig_367039_127
## ORN 0.3626374 0.57142857 0.00000000 0.4395604
## ID 0.0000000 0.11111111 0.51948052 0.1731602
## ORS 0.4000000 0.36263736 0.12500000 0.1111111
## CA 0.2845528 0.41269841 0.09291521 0.1024182
## WY 0.0000000 0.06294256 0.46954178 0.2981818
## Contig_367109_37 Contig_367336_31 Contig_367777_3 Contig_367870_10
## ORN 0.0000000 0.2637363 0.5250000 0.35555556
## ID 0.3116883 0.2467532 0.5263158 0.00000000
## ORS 0.4395604 0.4583333 0.2333333 0.00000000
## CA 0.0000000 0.0500000 0.5142857 0.18461538
## WY 0.1910007 0.1540616 0.3973114 0.05451713
## Contig_368064_63 Contig_368225_108 Contig_368467_42 Contig_368660_8
## ORN 0.1428571 0.4395604 0.0000000 0.0000000
## ID 0.4545455 0.5210526 0.2467532 0.2467532
## ORS 0.0000000 0.5000000 0.1111111 0.0000000
## CA 0.0000000 0.4378630 0.0000000 0.0000000
## WY 0.2718778 0.4519774 0.1318550 0.2143981
## Contig_368764_39 Contig_368870_112 Contig_369020_70 Contig_369136_14
## ORN 0.5333333 0.4395604 0.40909091 0.40909091
## ID 0.5238095 0.3116883 0.00000000 0.20915033
## ORS 0.5294118 0.2941176 0.42483660 0.32500000
## CA 0.5116279 0.0000000 0.32222222 0.45000000
## WY 0.5027233 0.1518348 0.01449275 0.07238245
## Contig_369469_36 Contig_369849_46 Contig_370381_111 Contig_370719_9
## ORN 0.5000000 0.4848485 0.53571429 0.1428571
## ID 0.1731602 0.4848485 0.47058824 0.4248366
## ORS 0.2941176 0.4395604 0.46666667 0.0000000
## CA 0.3086771 0.1691332 0.05263158 0.1571429
## WY 0.2398801 0.4901961 0.40198879 0.5003461
## Contig_371042_37 Contig_371179_50 Contig_371248_42 Contig_371266_21
## ORN 0.0000000 0.5274725 0.57142857 0.4583333
## ID 0.3116883 0.0000000 0.41558442 0.5032680
## ORS 0.0000000 0.4248366 0.00000000 0.5333333
## CA 0.0000000 0.2508711 0.09291521 0.5115385
## WY 0.1640927 0.0000000 0.43486702 0.5019479
## Contig_371712_50 Contig_371795_76 Contig_371882_93 Contig_372042_84
## ORN 0.4395604 0.0000000 0.1428571 0.0000000
## ID 0.1731602 0.0000000 0.1731602 0.1731602
## ORS 0.4395604 0.2091503 0.0000000 0.0000000
## CA 0.4866310 0.3837209 0.1079365 0.0000000
## WY 0.1143928 0.0000000 0.1543860 0.2630719
## Contig_372047_63 Contig_372257_69 Contig_372341_48 Contig_372644_74
## ORN 0.00000000 0.12500000 0.0000000 0.52747253
## ID 0.00000000 0.00000000 0.2091503 0.00000000
## ORS 0.29411765 0.11111111 0.0000000 0.12500000
## CA 0.43076923 0.21486643 0.0000000 0.51209104
## WY 0.01724138 0.09284028 0.2692063 0.01886792
## Contig_373553_43 Contig_373797_10 Contig_373909_50 Contig_374907_44
## ORN 0.4000000 0.2637363 0.0000000 0.12500000
## ID 0.4545455 0.0000000 0.1731602 0.52380952
## ORS 0.4248366 0.1111111 0.0000000 0.00000000
## CA 0.5115385 0.0000000 0.0000000 0.05555556
## WY 0.2487324 0.1372549 0.1477838 0.50412864
## Contig_374908_65 Contig_375810_60 Contig_376497_52 Contig_376604_99
## ORN 0.0000000 0.0000000 0.49450549 0.0000000
## ID 0.1731602 0.2333333 0.24675325 0.0000000
## ORS 0.2333333 0.1666667 0.42483660 0.1428571
## CA 0.0000000 0.2584670 0.50071124 0.3982930
## WY 0.2321604 0.2364189 0.04915966 0.0000000
## Contig_376820_21 Contig_377249_19 Contig_377429_24 Contig_377795_45
## ORN 0.5303030 0.5384615 0.0000000 0.53846154
## ID 0.2091503 0.5238095 0.2941176 0.31168831
## ORS 0.2637363 0.5333333 0.3250000 0.47058824
## CA 0.3282051 0.4623044 0.1493599 0.05882353
## WY 0.2314465 0.5019571 0.1517410 0.47189324
## Contig_378305_69 Contig_378943_97 Contig_379022_86 Contig_379189_59
## ORN 0.43956044 0.0000000 0.2637363 0.2333333
## ID 0.24675325 0.2467532 0.0000000 0.1731602
## ORS 0.52287582 0.0000000 0.1111111 0.3250000
## CA 0.25846702 0.0000000 0.4746032 0.4552846
## WY 0.04915966 0.2175313 0.0000000 0.2533489
## Contig_379505_64 Contig_380078_94 Contig_380256_66 Contig_380448_34
## ORN 0.3030303 0.43956044 0.1428571 0.5333333
## ID 0.5238095 0.09090909 0.3116883 0.5238095
## ORS 0.5000000 0.36601307 0.4705882 0.5333333
## CA 0.3329810 0.48663102 0.4735729 0.5121951
## WY 0.5037594 0.01785714 0.1131186 0.5044204
## Contig_380500_76 Contig_380964_58 Contig_381832_23 Contig_382853_93
## ORN 0.4848485 0.40909091 0.0000000 0.43956044
## ID 0.1731602 0.00000000 0.0000000 0.00000000
## ORS 0.4395604 0.48484848 0.0000000 0.43956044
## CA 0.3857143 0.29946524 0.0000000 0.32820513
## WY 0.3536388 0.01851852 0.1762392 0.09074573
## Contig_383259_75 Contig_383608_119 Contig_384029_43 Contig_384051_15
## ORN 0.4945055 0.00000000 0.5274725 0.5303030
## ID 0.4848485 0.00000000 0.5250000 0.5064935
## ORS 0.4395604 0.20000000 0.5000000 0.4705882
## CA 0.4378630 0.48387097 0.5120910 0.3707665
## WY 0.3577818 0.01754386 0.5002695 0.5000000
## Contig_384126_126 Contig_384686_19 Contig_384958_48 Contig_384994_123
## ORN 0.3555556 0.0000000 0.0000000 0.0000000
## ID 0.1428571 0.3679654 0.5263158 0.0000000
## ORS 0.0000000 0.1111111 0.1428571 0.2091503
## CA 0.0000000 0.4365079 0.0000000 0.3449477
## WY 0.2687675 0.3224806 0.2409060 0.0000000
## Contig_385668_34 Contig_385830_7 Contig_385947_74 Contig_386006_13
## ORN 0.4000000 0.5000000 0.1250000 0.3626374
## ID 0.3116883 0.3116883 0.3679654 0.2684211
## ORS 0.2091503 0.4000000 0.0000000 0.5333333
## CA 0.5007112 0.5115385 0.0000000 0.5021142
## WY 0.3320755 0.3607843 0.1816514 0.2432323
## Contig_386289_22 Contig_386343_52 Contig_386446_89 Contig_386731_59
## ORN 0.32500000 0.4090909 0.00000000 0.1428571
## ID 0.09090909 0.1731602 0.09090909 0.4155844
## ORS 0.52941176 0.3660131 0.36601307 0.3626374
## CA 0.00000000 0.1140820 0.51162791 0.0000000
## WY 0.05451713 0.0000000 0.28011204 0.1786061
## Contig_386780_69 Contig_387444_90 Contig_387504_12 Contig_389026_5
## ORN 0.0000000 0.0000000 0.00000000 0.0000000
## ID 0.0000000 0.1894737 0.00000000 0.3679654
## ORS 0.0000000 0.2941176 0.40000000 0.5032680
## CA 0.4623044 0.3413940 0.24603175 0.0000000
## WY 0.0212766 0.2637198 0.06118421 0.4395960
## Contig_389355_13 Contig_389606_31 Contig_389890_94 Contig_390212_127
## ORN 0.53030303 0.14285714 0.3626374 0.4285714
## ID 0.17316017 0.09090909 0.0000000 0.0000000
## ORS 0.42483660 0.00000000 0.5333333 0.5714286
## CA 0.04545455 0.10241821 0.4059197 0.4779516
## WY 0.13915385 0.12748081 0.0000000 0.1516264
## Contig_390380_16 Contig_391475_29 Contig_391485_66 Contig_391892_18
## ORN 0.50000000 0.45833333 0.2333333 0.1250000
## ID 0.47894737 0.09090909 0.2467532 0.3947368
## ORS 0.12500000 0.52287582 0.1111111 0.5250000
## CA 0.04761905 0.05263158 0.0000000 0.2731152
## WY 0.44837758 0.05082459 0.1357199 0.1451772
## Contig_392170_20 Contig_392276_19 Contig_392289_103 Contig_392971_28
## ORN 0.5333333 0.1666667 0.3250000 0.0000000
## ID 0.3679654 0.3116883 0.3116883 0.3679654
## ORS 0.3250000 0.0000000 0.5000000 0.0000000
## CA 0.2961538 0.3857143 0.1765389 0.0000000
## WY 0.3813604 0.1161372 0.3489097 0.2765122
## Contig_393304_44 Contig_393340_5 Contig_393408_102 Contig_393764_42
## ORN 0.0000000 0.4000000 0.00000000 0.5250000
## ID 0.1731602 0.4421053 0.26842105 0.5263158
## ORS 0.0000000 0.4583333 0.00000000 0.5274725
## CA 0.0000000 0.0000000 0.04761905 0.5115385
## WY 0.1411057 0.1494886 0.11439280 0.4919499
## Contig_395011_72 Contig_395463_133 Contig_395609_5 Contig_396411_17
## ORN 0.5333333 0.0000000 0.3626374 0.32500000
## ID 0.4421053 0.2467532 0.2684211 0.41558442
## ORS 0.5228758 0.0000000 0.0000000 0.00000000
## CA 0.4623044 0.0500000 0.0000000 0.05263158
## WY 0.3301587 0.1443778 0.4012579 0.33515152
## Contig_396442_72 Contig_396586_112 Contig_396901_36 Contig_397908_32
## ORN 0.4583333 0.1666667 0.23333333 0.5250000
## ID 0.5263158 0.4848485 0.00000000 0.4248366
## ORS 0.3660131 0.5000000 0.36601307 0.5032680
## CA 0.4438122 0.3413940 0.00000000 0.5075494
## WY 0.4867925 0.4813385 0.08184847 0.4039575
## Contig_398155_25 Contig_398175_58 Contig_398226_66 Contig_399416_27
## ORN 0.5000000 0.4945055 0.2333333 0.1666667
## ID 0.5238095 0.4545455 0.3947368 0.2467532
## ORS 0.5294118 0.2091503 0.1111111 0.5000000
## CA 0.5116279 0.0000000 0.0500000 0.4807692
## WY 0.5007452 0.4022520 0.2238157 0.2487324
## Contig_400254_104 Contig_400367_41 Contig_401085_28 Contig_402534_68
## ORN 0.0000000 0.00000000 0.4395604 0.5384615
## ID 0.1731602 0.09090909 0.2467532 0.5194805
## ORS 0.3250000 0.00000000 0.1111111 0.5032680
## CA 0.2845528 0.00000000 0.0000000 0.5120910
## WY 0.2330532 0.41693500 0.1755041 0.4466667
## Contig_403012_70 Contig_403053_132 Contig_403176_117 Contig_403244_16
## ORN 0.5454545 0.12500000 0.3030303 0.4583333
## ID 0.4848485 0.09090909 0.2467532 0.5064935
## ORS 0.5250000 0.36263736 0.2091503 0.5228758
## CA 0.4623044 0.35769231 0.0000000 0.5017422
## WY 0.5000000 0.00000000 0.2981818 0.4844037
## Contig_403684_96 Contig_403989_22 Contig_404198_9 Contig_404224_91
## ORN 0.4000000 0.5250000 0.23333333 0.3250000
## ID 0.4545455 0.5238095 0.24675325 0.5210526
## ORS 0.5250000 0.5250000 0.12500000 0.4395604
## CA 0.1765389 0.4598309 0.04761905 0.2347084
## WY 0.4945175 0.5037594 0.21712603 0.4947526
## Contig_404317_66 Contig_404439_125 Contig_406332_112 Contig_406522_19
## ORN 0.4666667 0.4000000 0.1428571 0.0000000
## ID 0.1111111 0.3116883 0.5194805 0.3679654
## ORS 0.0000000 0.2091503 0.2333333 0.3250000
## CA 0.3982930 0.0000000 0.0000000 0.4181185
## WY 0.3953242 0.2873594 0.3843514 0.3650587
## Contig_406681_65 Contig_406925_9 Contig_407041_32 Contig_407208_131
## ORN 0.0000000 0.5384615 0.0000000 0.0000000
## ID 0.2091503 0.1731602 0.2467532 0.0000000
## ORS 0.1428571 0.2941176 0.1111111 0.3250000
## CA 0.0000000 0.4378630 0.0000000 0.4438122
## WY 0.1491313 0.0319958 0.1115468 0.0296263
## Contig_407244_104 Contig_407372_51 Contig_407530_27 Contig_407613_106
## ORN 0.0000000 0.3626374 0.4000000 0.000
## ID 0.0000000 0.0000000 0.4848485 0.000
## ORS 0.4395604 0.5032680 0.2091503 0.125
## CA 0.3712660 0.4746032 0.0000000 0.500
## WY 0.0000000 0.0200000 0.3302271 0.000
## Contig_408462_95 Contig_409083_22 Contig_409425_113 Contig_409743_13
## ORN 0.53030303 0.43956044 0.1250000 0.2333333
## ID 0.17316017 0.00000000 0.1731602 0.2467532
## ORS 0.53333333 0.52500000 0.0000000 0.2333333
## CA 0.51282051 0.00000000 0.0000000 0.4378630
## WY 0.08872987 0.07199723 0.2562343 0.1421405
## Contig_409782_112 Contig_411043_9 Contig_411548_69 Contig_411620_116
## ORN 0.1428571 0.4090909 0.5333333 0.4000000
## ID 0.0000000 0.1000000 0.5210526 0.5263158
## ORS 0.0000000 0.0000000 0.2941176 0.5250000
## CA 0.4779516 0.0000000 0.5126984 0.2031746
## WY 0.2238157 0.1696089 0.4982929 0.5044248
## Contig_412101_25 Contig_412179_22 Contig_412315_43 Contig_412758_28
## ORN 0.40000000 0.5333333 0.1250000 0.000000
## ID 0.00000000 0.5238095 0.3368421 0.000000
## ORS 0.52287582 0.5333333 0.2941176 0.000000
## CA 0.27378436 0.5121951 0.1209677 0.398293
## WY 0.02040816 0.5033105 0.2850505 0.000000
## Contig_412760_47 Contig_412855_103 Contig_413034_5 Contig_413760_11
## ORN 0.5333333 0.0000000 0.5357143 0.1428571
## ID 0.5238095 0.2941176 0.4248366 0.2684211
## ORS 0.5333333 0.0000000 0.2333333 0.0000000
## CA 0.5121951 0.0500000 0.3282051 0.0000000
## WY 0.5036940 0.2628827 0.1433906 0.2523238
## Contig_414342_96 Contig_415688_101 Contig_415913_104 Contig_416567_48
## ORN 0.3250000 0.1428571 0.00000000 0.2637363
## ID 0.3679654 0.3368421 0.09090909 0.4155844
## ORS 0.1250000 0.2333333 0.11111111 0.1111111
## CA 0.0000000 0.1846154 0.26153846 0.2061311
## WY 0.4443898 0.4075517 0.16379526 0.1267737
## Contig_416793_6 Contig_416891_8 Contig_417382_64 Contig_417629_52
## ORN 0.3626374 0.2333333 0.5250000 0.49450549
## ID 0.4155844 0.2684211 0.4848485 0.45454545
## ORS 0.4945055 0.5000000 0.4000000 0.11111111
## CA 0.4307692 0.3982930 0.5079365 0.05263158
## WY 0.4948454 0.4044444 0.4667124 0.30849478
## Contig_417765_9 Contig_417886_33 Contig_418314_14 Contig_418359_8
## ORN 0.0000000 0.0000000 0.5000000 0.2333333
## ID 0.4155844 0.4155844 0.0000000 0.3679654
## ORS 0.1250000 0.0000000 0.3660131 0.3250000
## CA 0.0000000 0.0000000 0.4888889 0.3712660
## WY 0.1787323 0.4944884 0.0707256 0.3229358
## Contig_418919_47 Contig_419412_37 Contig_419583_81 Contig_420100_73
## ORN 0.2637363 0.4583333 0.2333333 0.23333333
## ID 0.3679654 0.4848485 0.4848485 0.31168831
## ORS 0.5274725 0.5000000 0.3660131 0.49450549
## CA 0.4307692 0.5017422 0.4779516 0.18461538
## WY 0.3508246 0.4811474 0.4084710 0.07331536
## Contig_420249_68 Contig_420282_94 Contig_420322_40 Contig_420834_26
## ORN 0.5454545 0.1666667 0.1666667 0.5274725
## ID 0.3679654 0.4848485 0.2467532 0.1731602
## ORS 0.2941176 0.0000000 0.1250000 0.1111111
## CA 0.4571429 0.0000000 0.4571429 0.2031746
## WY 0.1408805 0.4004675 0.2133333 0.0000000
## Contig_421000_18 Contig_421023_77 Contig_421849_4 Contig_421884_91
## ORN 0.4000000 0.00000000 0.0000000 0.0000000
## ID 0.2467532 0.31168831 0.0000000 0.4155844
## ORS 0.0000000 0.00000000 0.2091503 0.0000000
## CA 0.0000000 0.09291521 0.4059197 0.0000000
## WY 0.2590793 0.28943193 0.0000000 0.4533333
## Contig_422138_25 Contig_422684_67 Contig_424777_119 Contig_425460_70
## ORN 0.0000000 0.00000000 0.1250000 0.5384615
## ID 0.3679654 0.17316017 0.3116883 0.5064935
## ORS 0.0000000 0.26373626 0.2091503 0.5333333
## CA 0.0000000 0.40106952 0.3449477 0.4378630
## WY 0.2241868 0.05260618 0.2558635 0.3612641
## Contig_426334_73 Contig_426743_27 Contig_426810_40 Contig_427999_88
## ORN 0.0000000 0.4583333 0.50000000 0.1250000
## ID 0.4155844 0.4155844 0.00000000 0.5032680
## ORS 0.0000000 0.3250000 0.00000000 0.3250000
## CA 0.0000000 0.3960511 0.33689840 0.5007112
## WY 0.3539209 0.4846227 0.09734898 0.4770423
## Contig_428114_25 Contig_428130_10 Contig_428647_104 Contig_428732_107
## ORN 0.33333333 0.1428571 0.0000000 0.0000000
## ID 0.47058824 0.2941176 0.1731602 0.2941176
## ORS 0.14285714 0.1428571 0.1111111 0.6000000
## CA 0.04761905 0.0000000 0.0000000 0.4126984
## WY 0.42834891 0.2340734 0.1755041 0.1090638
## Contig_429217_107 Contig_429267_63 Contig_430126_77 Contig_430237_58
## ORN 0.4000000 0.4848485 0.3626374 0.26373626
## ID 0.5064935 0.5250000 0.2467532 0.24675325
## ORS 0.5000000 0.2000000 0.0000000 0.16666667
## CA 0.1934566 0.4907539 0.0000000 0.17653891
## WY 0.4342105 0.5005997 0.1750172 0.01886792
## Contig_430241_98 Contig_430414_16 Contig_430812_60 Contig_431105_15
## ORN 0.1250000 0.00000000 0.5333333 0.2333333
## ID 0.4545455 0.00000000 0.4545455 0.3947368
## ORS 0.0000000 0.45833333 0.5000000 0.0000000
## CA 0.0000000 0.50804598 0.4852008 0.0000000
## WY 0.2630719 0.09415647 0.4770423 0.2568345
## Contig_431298_16 Contig_431729_59 Contig_432415_36 Contig_432541_45
## ORN 0.2333333 0.0000000 0.2637363 0.2637363
## ID 0.4421053 0.5263158 0.5238095 0.0000000
## ORS 0.0000000 0.1250000 0.1111111 0.0000000
## CA 0.0000000 0.0000000 0.0000000 0.0000000
## WY 0.3466667 0.4192547 0.4867024 0.1624927
## Contig_433181_64 Contig_433459_81 Contig_433528_58 Contig_434714_13
## ORN 0.5333333 0.1250000 0.0000000 0.4945055
## ID 0.4789474 0.0000000 0.1731602 0.4848485
## ORS 0.2941176 0.3250000 0.5333333 0.5000000
## CA 0.4991087 0.4746032 0.3888889 0.5110337
## WY 0.4209069 0.0000000 0.1787323 0.4580116
## Contig_435032_72 Contig_435086_5 Contig_435134_76 Contig_435702_9
## ORN 0.3626374 0.1428571 0.5384615 0.0000000
## ID 0.5194805 0.1731602 0.5194805 0.1731602
## ORS 0.5303030 0.1111111 0.5250000 0.0000000
## CA 0.2148664 0.0000000 0.4378630 0.0000000
## WY 0.3657143 0.2452026 0.4193361 0.1451772
## Contig_436181_95 Contig_436384_54 Contig_436443_35 Contig_436822_48
## ORN 0.4666667 0.40909091 0.1250000 0.00000000
## ID 0.1894737 0.00000000 0.3116883 0.33684211
## ORS 0.3333333 0.11111111 0.3250000 0.49450549
## CA 0.1358885 0.22435897 0.2845528 0.04761905
## WY 0.1361134 0.04760031 0.3313426 0.19481793
## Contig_437022_48 Contig_437061_117 Contig_437104_10 Contig_437144_65
## ORN 0.4583333 0.00000000 0.00000000 0.5333333
## ID 0.5194805 0.09090909 0.09090909 0.5238095
## ORS 0.4945055 0.00000000 0.30303030 0.5294118
## CA 0.3712660 0.00000000 0.38461538 0.5121951
## WY 0.5043860 0.35832118 0.00000000 0.5036472
## Contig_437463_45 Contig_438328_39 Contig_438625_105 Contig_438817_101
## ORN 0.4583333 0.12500000 0.36263736 0.2000000
## ID 0.5032680 0.09090909 0.51948052 0.2467532
## ORS 0.4705882 0.36601307 0.45833333 0.5000000
## CA 0.4059197 0.00000000 0.05263158 0.1024182
## WY 0.3696078 0.20194073 0.50484848 0.2598134
## Contig_438906_16 Contig_438941_42 Contig_439255_124 Contig_439515_82
## ORN 0.5250000 0.4945055 0.3250000 0.5000000
## ID 0.5194805 0.0000000 0.1731602 0.0000000
## ORS 0.4583333 0.1428571 0.1250000 0.5228758
## CA 0.4552846 0.2845528 0.5076923 0.4307692
## WY 0.3824424 0.1705056 0.2133333 0.0000000
## Contig_439910_30 Contig_439981_64 Contig_441010_23 Contig_441340_3
## ORN 0.2000000 0.1428571 0.50000000 0.5333333
## ID 0.5228758 0.2467532 0.09090909 0.5250000
## ORS 0.0000000 0.1666667 0.52941176 0.4248366
## CA 0.1423077 0.1934566 0.50769231 0.4779516
## WY 0.4950022 0.1927030 0.34107946 0.5019639
## Contig_441761_13 Contig_441901_20 Contig_441970_17 Contig_441993_37
## ORN 0.5333333 0.4000000 0.5303030 0.4000000
## ID 0.5263158 0.4421053 0.4155844 0.3679654
## ORS 0.5228758 0.4583333 0.3660131 0.5250000
## CA 0.5078236 0.5126984 0.0000000 0.4907539
## WY 0.4902066 0.4659670 0.4072727 0.3187601
## Contig_442751_40 Contig_442775_77 Contig_442962_122 Contig_443128_27
## ORN 0.1666667 0.5333333 0.3250000 0.0000000
## ID 0.4545455 0.1731602 0.2467532 0.5032680
## ORS 0.2637363 0.4705882 0.1111111 0.4705882
## CA 0.5142857 0.4438122 0.5000000 0.5110337
## WY 0.4193361 0.3880731 0.2762302 0.2048503
## Contig_443262_4 Contig_444081_14 Contig_445139_15 Contig_445266_33
## ORN 0.0000000 0.0000000 0.5274725 0.5000000
## ID 0.4848485 0.0000000 0.2467532 0.4545455
## ORS 0.4583333 0.0000000 0.2091503 0.5250000
## CA 0.0000000 0.4831591 0.4598309 0.2410148
## WY 0.4443509 0.0000000 0.3699557 0.4646794
## Contig_445310_101 Contig_445613_112 Contig_445627_77 Contig_446240_11
## ORN 0.4583333 0.4945055 0.00000000 0.0000000
## ID 0.2467532 0.3116883 0.44210526 0.4848485
## ORS 0.5333333 0.0000000 0.12500000 0.0000000
## CA 0.3086771 0.2148664 0.05555556 0.0000000
## WY 0.1433906 0.2950891 0.26828132 0.3351515
## Contig_446259_23 Contig_446777_15 Contig_446912_84 Contig_446984_32
## ORN 0.0000000 0.40000000 0.0000000 0.4395604
## ID 0.0000000 0.45454545 0.3116883 0.2684211
## ORS 0.2941176 0.36601307 0.0000000 0.5032680
## CA 0.2845528 0.06666667 0.0000000 0.5120910
## WY 0.2241868 0.35363881 0.3921569 0.4044444
## Contig_447133_25 Contig_447318_19 Contig_447431_88 Contig_448175_22
## ORN 0.1428571 0.5274725 0.5384615 0.5384615
## ID 0.0000000 0.2467532 0.0000000 0.4155844
## ORS 0.1111111 0.3250000 0.5384615 0.5274725
## CA 0.5120910 0.5126984 0.3555556 0.5126984
## WY 0.0200000 0.2246166 0.2238157 0.4654545
## Contig_449800_20 Contig_450141_69 Contig_450470_69 Contig_450667_40
## ORN 0.0000000 0.52500000 0.1428571 0.0000000
## ID 0.1731602 0.10000000 0.4545455 0.5052632
## ORS 0.1111111 0.00000000 0.3250000 0.2637363
## CA 0.0000000 0.23470839 0.5076923 0.4703833
## WY 0.1540616 0.07453787 0.3783784 0.4834130
## Contig_451774_85 Contig_452079_43 Contig_452830_79 Contig_453016_56
## ORN 0.1250000 0.4395604 0.0000000 0.1250000
## ID 0.4421053 0.3116883 0.4789474 0.2091503
## ORS 0.1111111 0.1111111 0.0000000 0.4583333
## CA 0.0000000 0.2584670 0.0000000 0.5075494
## WY 0.3544621 0.2533489 0.2869094 0.4060866
## Contig_453140_102 Contig_453472_34 Contig_453556_69 Contig_454001_60
## ORN 0.00000000 0.5274725 0.0000000 0.5303030
## ID 0.26842105 0.4421053 0.4155844 0.4945055
## ORS 0.42483660 0.5555556 0.1250000 0.5357143
## CA 0.32222222 0.4552846 0.0000000 0.4907539
## WY 0.03100394 0.4341591 0.4044841 0.3697876
## Contig_454629_95 Contig_454845_82 Contig_455544_123 Contig_455656_18
## ORN 0.3030303 0.57142857 0.4000000 0.5384615
## ID 0.5228758 0.09090909 0.3947368 0.5052632
## ORS 0.1428571 0.23333333 0.4583333 0.5384615
## CA 0.0000000 0.00000000 0.3368984 0.0974359
## WY 0.4146832 0.19777778 0.4610195 0.3789474
## Contig_456402_48 Contig_456929_103 Contig_457479_5 Contig_457732_106
## ORN 0.0000000 0.0000000 0.2333333 0.0000000
## ID 0.2467532 0.1731602 0.3679654 0.1731602
## ORS 0.0000000 0.0000000 0.4000000 0.0000000
## CA 0.0000000 0.5076923 0.2508711 0.0000000
## WY 0.1589205 0.1228182 0.2234921 0.1361134
## Contig_458264_59 Contig_458335_25 Contig_458433_34 Contig_459544_5
## ORN 0.00000000 0.43956044 0.4583333 0.00000000
## ID 0.17316017 0.00000000 0.4848485 0.18947368
## ORS 0.00000000 0.00000000 0.5384615 0.14285714
## CA 0.04761905 0.26153846 0.5012821 0.29615385
## WY 0.24042934 0.01785714 0.3781513 0.09241972
## Contig_459694_115 Contig_459836_32 Contig_460063_57 Contig_460168_32
## ORN 0.1250000 0.5303030 0.35555556 0.0000000
## ID 0.0000000 0.4155844 0.00000000 0.0000000
## ORS 0.2091503 0.5228758 0.43956044 0.1250000
## CA 0.4552846 0.5079365 0.35769231 0.4089744
## WY 0.0000000 0.4961925 0.01587302 0.0000000
## Contig_460373_56 Contig_460424_48 Contig_460521_20 Contig_460769_23
## ORN 0.5000000 0.3626374 0.0000000 0.23333333
## ID 0.5032680 0.1731602 0.0000000 0.09090909
## ORS 0.2333333 0.3250000 0.3626374 0.36601307
## CA 0.0500000 0.5076923 0.0500000 0.00000000
## WY 0.3117598 0.2803738 0.2210526 0.29138167
## Contig_460923_16 Contig_461097_106 Contig_461149_101 Contig_461189_57
## ORN 0.4945055 0.5000000 0.5274725 0.00000000
## ID 0.3679654 0.5263158 0.5210526 0.26842105
## ORS 0.3250000 0.2941176 0.4000000 0.52500000
## CA 0.4365079 0.1358885 0.5121951 0.24603175
## WY 0.2352502 0.4208315 0.4640748 0.02083333
## Contig_461331_89 Contig_461336_27 Contig_461619_91 Contig_461684_95
## ORN 0.00000000 0.0000000 0.0000000 0.40000000
## ID 0.31168831 0.1000000 0.1731602 0.09090909
## ORS 0.00000000 0.0000000 0.0000000 0.36601307
## CA 0.09291521 0.0000000 0.0000000 0.00000000
## WY 0.29806259 0.1787323 0.1685251 0.20784314
## Contig_461747_30 Contig_462659_62 Contig_463172_117 Contig_464013_95
## ORN 0.2637363 0.00000000 0.36263736 0.3626374
## ID 0.3116883 0.17316017 0.00000000 0.5210526
## ORS 0.1250000 0.29411765 0.50000000 0.5274725
## CA 0.0000000 0.50754936 0.37126600 0.4307692
## WY 0.1787323 0.08743928 0.01923077 0.4736842
## Contig_464537_7 Contig_464757_80 Contig_464788_130 Contig_464978_99
## ORN 0.1250000 0.43956044 0.000000 0.49450549
## ID 0.3679654 0.31168831 0.000000 0.18947368
## ORS 0.0000000 0.43956044 0.400000 0.00000000
## CA 0.0000000 0.37166086 0.500000 0.04545455
## WY 0.2764518 0.05835484 0.015625 0.16209150
## Contig_465147_86 Contig_466211_83 Contig_466533_11 Contig_466623_81
## ORN 0.4848485 0.12500000 0.5303030 0.125000
## ID 0.1894737 0.17316017 0.5052632 0.000000
## ORS 0.1428571 0.26373626 0.5250000 0.125000
## CA 0.3960511 0.48076923 0.4807692 0.398293
## WY 0.2434405 0.04543828 0.4144884 0.000000
## Contig_467307_127 Contig_467558_77 Contig_467701_28 Contig_467715_84
## ORN 0.2637363 0.5000000 0.32500000 0.36263736
## ID 0.1731602 0.3116883 0.33684211 0.00000000
## ORS 0.0000000 0.0000000 0.16666667 0.40000000
## CA 0.0500000 0.0000000 0.49910873 0.39605110
## WY 0.0959596 0.3827045 0.03603003 0.01449275
## Contig_467964_45 Contig_468399_20 Contig_468944_73 Contig_469314_34
## ORN 0.2637363 0.1250000 0.3250000 0.1428571
## ID 0.1731602 0.3368421 0.5263158 0.3116883
## ORS 0.1250000 0.0000000 0.5000000 0.1111111
## CA 0.0000000 0.4705882 0.4735729 0.1493599
## WY 0.1865397 0.4235294 0.5029985 0.1685251
## Contig_469455_17 Contig_469561_6 Contig_469827_122 Contig_470030_122
## ORN 0.2637363 0.3626374 0.5250000 0.3626374
## ID 0.3116883 0.0000000 0.5052632 0.4789474
## ORS 0.1250000 0.3250000 0.0000000 0.2333333
## CA 0.3716609 0.4888889 0.5135135 0.1862069
## WY 0.3165290 0.1640927 0.4595560 0.3310345
## Contig_470340_29 Contig_470778_17 Contig_470910_80 Contig_471055_87
## ORN 0.36263736 0.52747253 0.2333333 0.4848485
## ID 0.17316017 0.52380952 0.0000000 0.2684211
## ORS 0.50000000 0.52500000 0.1111111 0.2941176
## CA 0.05555556 0.04761905 0.3716609 0.4807692
## WY 0.01886792 0.34539474 0.0000000 0.1589205
## Contig_471492_56 Contig_471743_85 Contig_471779_120 Contig_472305_119
## ORN 0.4945055 0.2637363 0.3030303 0.5274725
## ID 0.5210526 0.4848485 0.1111111 0.5210526
## ORS 0.5000000 0.1250000 0.0000000 0.5000000
## CA 0.3413940 0.5073996 0.0000000 0.2460317
## WY 0.4395960 0.4758170 0.3489097 0.5040616
## Contig_472559_3 Contig_472649_25 Contig_472748_7 Contig_472915_14
## ORN 0.0000000 0.00000000 0.43956044 0.5333333
## ID 0.0000000 0.00000000 0.10000000 0.5238095
## ORS 0.0000000 0.47058824 0.52747253 0.5294118
## CA 0.4705882 0.40591966 0.48663102 0.5142857
## WY 0.0000000 0.01724138 0.05765871 0.4997807
## Contig_473288_99 Contig_473937_8 Contig_473987_94 Contig_474409_98
## ORN 0.5250000 0.5250000 0.0000000 0.4583333
## ID 0.2467532 0.4155844 0.3116883 0.5263158
## ORS 0.5000000 0.5384615 0.0000000 0.5250000
## CA 0.1493599 0.0974359 0.0000000 0.5000000
## WY 0.1574011 0.1958911 0.2687675 0.4293381
## Contig_474446_116 Contig_474735_7 Contig_477308_75 Contig_477808_19
## ORN 0.1250000 0.00000000 0.3626374 0.3250000
## ID 0.2467532 0.00000000 0.1000000 0.1000000
## ORS 0.3626374 0.53846154 0.3030303 0.0000000
## CA 0.0000000 0.28571429 0.1140820 0.4866310
## WY 0.2175313 0.01785714 0.1143928 0.2590793
## Contig_478349_43 Contig_478619_71 Contig_479064_44 Contig_479664_76
## ORN 0.0000000 0.49450549 0.4945055 0.5384615
## ID 0.4848485 0.09090909 0.3368421 0.5238095
## ORS 0.0000000 0.52287582 0.4583333 0.5333333
## CA 0.5078236 0.40591966 0.3707665 0.5116279
## WY 0.2085384 0.24183715 0.5028571 0.5037037
## Contig_479668_61 Contig_480044_68 Contig_480281_95 Contig_482336_8
## ORN 0.5000000 0.48484848 0.4395604 0.5333333
## ID 0.1731602 0.09090909 0.5064935 0.5238095
## ORS 0.1250000 0.52747253 0.2941176 0.5294118
## CA 0.3712660 0.51153846 0.5079365 0.5105708
## WY 0.2091503 0.19774011 0.5053763 0.5035948
## Contig_482898_126 Contig_483103_22 Contig_483229_82 Contig_484080_9
## ORN 0.4945055 0.3030303 0.5250000 0.43956044
## ID 0.4421053 0.1894737 0.5194805 0.51948052
## ORS 0.5274725 0.3250000 0.1111111 0.40000000
## CA 0.4181185 0.3086771 0.2857143 0.04545455
## WY 0.4021008 0.2466598 0.5033173 0.49619245
## Contig_484788_60 Contig_485038_55 Contig_485204_24 Contig_485293_35
## ORN 0.00000000 0.00000000 0.0000000 0.52747253
## ID 0.09090909 0.09090909 0.0000000 0.00000000
## ORS 0.32500000 0.42483660 0.1250000 0.36601307
## CA 0.50071124 0.23470839 0.4126984 0.51351351
## WY 0.19433120 0.00000000 0.0000000 0.06498599
## Contig_486019_67 Contig_486038_91 Contig_486568_89 Contig_486901_81
## ORN 0.4090909 0.55555556 0.00000000 0.4583333
## ID 0.3368421 0.00000000 0.17316017 0.5052632
## ORS 0.5000000 0.49450549 0.00000000 0.1250000
## CA 0.1493599 0.35282258 0.15714286 0.0000000
## WY 0.3029665 0.01818182 0.09783295 0.4759596
## Contig_487165_89 Contig_487740_21 Contig_489193_82 Contig_489315_16
## ORN 0.4945055 0.4395604 0.4395604 0.0000000
## ID 0.4789474 0.3116883 0.3660131 0.0000000
## ORS 0.2091503 0.4000000 0.0000000 0.0000000
## CA 0.4936121 0.4703833 0.0000000 0.4435484
## WY 0.4567270 0.3109091 0.2547982 0.0000000
## Contig_489375_58 Contig_489459_40 Contig_489615_6 Contig_489693_15
## ORN 0.00000000 0.4000000 0.4395604 0.12500000
## ID 0.09090909 0.3116883 0.1731602 0.41558442
## ORS 0.00000000 0.3030303 0.5384615 0.29411765
## CA 0.45528455 0.4181185 0.5000000 0.08879493
## WY 0.04997827 0.2692063 0.2452830 0.38844811
## Contig_489717_87 Contig_489895_53 Contig_490412_65 Contig_490647_41
## ORN 0.6000000 0.0000000 0.00000000 0.0000000
## ID 0.4705882 0.0000000 0.09090909 0.4545455
## ORS 0.3555556 0.3660131 0.00000000 0.5250000
## CA 0.0000000 0.4307692 0.04545455 0.0000000
## WY 0.4235294 0.0000000 0.16968140 0.2452830
## Contig_490847_121 Contig_490857_14 Contig_490958_28 Contig_490968_86
## ORN 0.4666667 0.1250000 0.5384615 0.2637363
## ID 0.3250000 0.0000000 0.4155844 0.1731602
## ORS 0.2500000 0.4583333 0.1250000 0.0000000
## CA 0.3576923 0.5075494 0.0000000 0.0000000
## WY 0.4004675 0.0000000 0.2373352 0.2492532
## Contig_491403_46 Contig_491457_129 Contig_492754_81 Contig_493446_13
## ORN 0.00000000 0.1250000 0.12500000 0.4395604
## ID 0.41558442 0.3679654 0.09090909 0.5194805
## ORS 0.00000000 0.4395604 0.20915033 0.5032680
## CA 0.05263158 0.4010695 0.43650794 0.5075494
## WY 0.27603619 0.1818182 0.16542474 0.4270423
## Contig_494794_92 Contig_494963_32 Contig_495058_56 Contig_495994_86
## ORN 0.00000000 0.00000000 0.40000000 0.3626374
## ID 0.24675325 0.17316017 0.17316017 0.2467532
## ORS 0.00000000 0.00000000 0.35555556 0.1111111
## CA 0.05263158 0.04761905 0.43448276 0.0000000
## WY 0.27603619 0.20704633 0.07802255 0.2945175
## Contig_496599_110 Contig_496912_97 Contig_497010_24 Contig_497203_23
## ORN 0.36263736 0.12500000 0.40000000 0.3626374
## ID 0.00000000 0.31168831 0.09090909 0.3679654
## ORS 0.32500000 0.00000000 0.52500000 0.1250000
## CA 0.45714286 0.04545455 0.51411290 0.4224751
## WY 0.03360858 0.38196825 0.11613718 0.1851462
## Contig_497684_65 Contig_498318_21 Contig_498377_54 Contig_498423_78
## ORN 0.4000000 0.0000000 0.1250000 0.5000000
## ID 0.2467532 0.2467532 0.4789474 0.4545455
## ORS 0.0000000 0.0000000 0.2333333 0.5250000
## CA 0.1423077 0.4010695 0.2243590 0.4907539
## WY 0.2523238 0.0768254 0.3650587 0.4385585
## Contig_498478_69 Contig_498646_58 Contig_499275_11 Contig_499524_126
## ORN 0.0000000 0.0000000 0.4848485 0.0000000
## ID 0.4155844 0.3679654 0.3116883 0.3116883
## ORS 0.0000000 0.0000000 0.5000000 0.0000000
## CA 0.0000000 0.0000000 0.4260042 0.0000000
## WY 0.3612641 0.2657480 0.2988469 0.2760362
## Contig_499923_55 Contig_500166_6 Contig_500361_50 Contig_500898_8
## ORN 0.00000000 0.45833333 0.0000000 0.0000000
## ID 0.09090909 0.09090909 0.5194805 0.2467532
## ORS 0.00000000 0.26373626 0.3250000 0.0000000
## CA 0.00000000 0.05000000 0.0000000 0.0000000
## WY 0.22047244 0.03199580 0.4359571 0.2208738
## Contig_501025_112 Contig_501233_55 Contig_501635_27 Contig_501693_57
## ORN 0.5274725 0.3626374 0.12500000 0.3555556
## ID 0.3116883 0.0000000 0.00000000 0.2941176
## ORS 0.4848485 0.3250000 0.23333333 0.2637363
## CA 0.5080645 0.4666667 0.23470839 0.4307692
## WY 0.1877808 0.1207962 0.04997827 0.3032138
## Contig_501824_44 Contig_502289_79 Contig_502649_30 Contig_502749_108
## ORN 0.4000000 0.36263736 0.1250000 0.3626374
## ID 0.1731602 0.00000000 0.0000000 0.5210526
## ORS 0.5228758 0.12500000 0.4248366 0.5250000
## CA 0.5078236 0.48888889 0.5080645 0.5135135
## WY 0.3454777 0.01886792 0.0000000 0.4833333
## Contig_503029_9 Contig_503138_40 Contig_503334_60 Contig_503514_51
## ORN 0.5333333 0.40000000 0.52500000 0.0000000
## ID 0.5238095 0.00000000 0.09090909 0.2467532
## ORS 0.5294118 0.11111111 0.11111111 0.0000000
## CA 0.5080214 0.42780749 0.51209104 0.0000000
## WY 0.4932615 0.09836601 0.00000000 0.2297792
## Contig_503685_78 Contig_503828_19 Contig_503884_102 Contig_503953_71
## ORN 0.0000000 0.2333333 0.00000000 0.2333333
## ID 0.0000000 0.1731602 0.09090909 0.0000000
## ORS 0.1428571 0.0000000 0.00000000 0.3660131
## CA 0.4991087 0.1765389 0.00000000 0.2410148
## WY 0.0000000 0.1818182 0.27339926 0.0000000
## Contig_505065_43 Contig_505244_76 Contig_506027_78 Contig_506719_122
## ORN 0.5274725 0.5454545 0.5384615 0.14285714
## ID 0.2684211 0.5263158 0.2091503 0.17316017
## ORS 0.4000000 0.5032680 0.5228758 0.52941176
## CA 0.5079365 0.1024182 0.5151515 0.42247511
## WY 0.1540616 0.4921212 0.3886869 0.07802255
## Contig_506966_111 Contig_507518_41 Contig_507777_65 Contig_507972_51
## ORN 0.53846154 0.14285714 0.4395604 0.00000000
## ID 0.31168831 0.17316017 0.3679654 0.24675325
## ORS 0.20915033 0.40000000 0.5228758 0.29411765
## CA 0.04545455 0.50769231 0.4703833 0.10241821
## WY 0.22512011 0.08070175 0.2468571 0.07757576
## Contig_508200_24 Contig_508252_64 Contig_508903_79 Contig_509422_32
## ORN 0.4583333 0.54545455 0.5000000 0.5384615
## ID 0.5210526 0.00000000 0.4155844 0.5238095
## ORS 0.5333333 0.45833333 0.0000000 0.5294118
## CA 0.4923077 0.08879493 0.4947146 0.5128205
## WY 0.4916339 0.01515152 0.4146832 0.5034449
## Contig_509431_123 Contig_509951_99 Contig_510644_103 Contig_512065_69
## ORN 0.0000000 0.0000000 0.000000 0.43956044
## ID 0.0000000 0.0000000 0.000000 0.00000000
## ORS 0.3660131 0.4248366 0.000000 0.23333333
## CA 0.3413940 0.5142857 0.398293 0.38372093
## WY 0.0000000 0.0000000 0.000000 0.07453787
## Contig_512534_120 Contig_512889_92 Contig_512999_38 Contig_513302_3
## ORN 0.00000000 0.2637363 0.4395604 0.5384615
## ID 0.09090909 0.5210526 0.5228758 0.5238095
## ORS 0.11111111 0.2333333 0.5228758 0.5303030
## CA 0.00000000 0.0000000 0.5076923 0.4888889
## WY 0.14110571 0.5007868 0.4790105 0.4954378
## Contig_513399_60 Contig_513731_54 Contig_513847_123 Contig_514065_75
## ORN 0.48484848 0.14285714 0.0000000 0.5333333
## ID 0.48484848 0.18947368 0.2684211 0.4848485
## ORS 0.00000000 0.11111111 0.1250000 0.4248366
## CA 0.05263158 0.05263158 0.4746032 0.4224751
## WY 0.20504386 0.12953523 0.3687453 0.3901910
## Contig_514966_74 Contig_515686_24 Contig_516109_69 Contig_516819_62
## ORN 0.3250000 0.4395604 0.4583333 0.0000000
## ID 0.4545455 0.4155844 0.5064935 0.0000000
## ORS 0.4395604 0.3250000 0.2637363 0.1111111
## CA 0.5078236 0.3282051 0.2243590 0.2243590
## WY 0.4998948 0.3185328 0.4694923 0.1816514
## Contig_516878_85 Contig_517200_62 Contig_517333_118 Contig_517434_103
## ORN 0.5303030 0.2637363 0.00000000 0.1428571
## ID 0.3368421 0.0000000 0.48484848 0.1731602
## ORS 0.1666667 0.4583333 0.00000000 0.2333333
## CA 0.2148664 0.0000000 0.08879493 0.0000000
## WY 0.3185328 0.1216890 0.38219753 0.2019407
## Contig_518551_18 Contig_519074_40 Contig_519413_46 Contig_519465_76
## ORN 0.4000000 0.0000000 0.00000000 0.4583333
## ID 0.4545455 0.2091503 0.09090909 0.0000000
## ORS 0.1250000 0.5714286 0.00000000 0.2333333
## CA 0.0000000 0.1765389 0.00000000 0.5135135
## WY 0.2517544 0.1871064 0.15611210 0.1516264
## Contig_519814_89 Contig_520518_80 Contig_520832_37 Contig_521480_18
## ORN 0.2637363 0.0000000 0.2637363 0.2500000
## ID 0.3679654 0.4848485 0.4848485 0.4545455
## ORS 0.0000000 0.0000000 0.2333333 0.4848485
## CA 0.0000000 0.0000000 0.1571429 0.3086771
## WY 0.2432323 0.2607562 0.3981818 0.4959569
## Contig_521815_47 Contig_521937_5 Contig_521960_7 Contig_522000_51
## ORN 0.4090909 0.5274725 0.2333333 0.5274725
## ID 0.5238095 0.3947368 0.3116883 0.4848485
## ORS 0.4945055 0.5000000 0.0000000 0.2333333
## CA 0.4746032 0.5135135 0.2615385 0.0000000
## WY 0.4952381 0.4892254 0.2313725 0.5044204
## Contig_522064_35 Contig_522582_16 Contig_522648_9 Contig_522797_129
## ORN 0.3250000 0.4395604 0.3030303 0.2333333
## ID 0.4545455 0.1000000 0.5064935 0.0000000
## ORS 0.2091503 0.4705882 0.4848485 0.2333333
## CA 0.4991087 0.4623044 0.3555556 0.2615385
## WY 0.4272957 0.3207547 0.4754240 0.2140930
## Contig_522815_130 Contig_522957_20 Contig_523003_32 Contig_523252_10
## ORN 0.2637363 0.50000000 0.4945055 0.4848485
## ID 0.3679654 0.39473684 0.2684211 0.2684211
## ORS 0.0000000 0.29411765 0.4000000 0.4705882
## CA 0.4746032 0.08879493 0.5076923 0.4500000
## WY 0.3499035 0.35363881 0.1930502 0.3136669
## Contig_523508_29 Contig_524154_21 Contig_524492_9 Contig_524590_74
## ORN 0.2637363 0.36263736 0.3250000 0.35555556
## ID 0.5210526 0.18947368 0.2467532 0.17316017
## ORS 0.4395604 0.20000000 0.4248366 0.26373626
## CA 0.1765389 0.51282051 0.5141129 0.24101480
## WY 0.4877388 0.08053221 0.2637198 0.09976434
## Contig_524933_108 Contig_525112_46 Contig_526221_33 Contig_526440_42
## ORN 0.0000000 0.3626374 0.1250000 0.5555556
## ID 0.3116883 0.3660131 0.2467532 0.2467532
## ORS 0.0000000 0.5274725 0.1250000 0.3250000
## CA 0.0000000 0.3222222 0.5116279 0.4947090
## WY 0.1642913 0.5007003 0.1056721 0.1762392
## Contig_527247_6 Contig_527590_81 Contig_527679_35 Contig_528044_64
## ORN 0.1428571 0.45833333 0.1250000 0.40000000
## ID 0.0000000 0.09090909 0.0000000 0.09090909
## ORS 0.0000000 0.11111111 0.0000000 0.00000000
## CA 0.0500000 0.32820513 0.0000000 0.00000000
## WY 0.1696089 0.25232384 0.1820225 0.21226651
## Contig_528269_21 Contig_528302_13 Contig_528491_80 Contig_528495_52
## ORN 0.40000000 0.4000000 0.4583333 0.36263736
## ID 0.00000000 0.3679654 0.1731602 0.00000000
## ORS 0.26373626 0.4705882 0.5032680 0.12500000
## CA 0.35282258 0.0500000 0.2061311 0.27217742
## WY 0.03539254 0.4610195 0.1606349 0.05765871
## Contig_528874_46 Contig_529967_43 Contig_530057_106 Contig_530333_59
## ORN 0.5384615 0.5000000 0.5274725 0.00000000
## ID 0.5064935 0.3679654 0.5064935 0.41558442
## ORS 0.4248366 0.5228758 0.4090909 0.00000000
## CA 0.5121951 0.2845528 0.5007112 0.05882353
## WY 0.5007003 0.3484444 0.4222947 0.33976834
## Contig_530512_38 Contig_531152_97 Contig_533483_77 Contig_533892_25
## ORN 0.4000000 0.4945055 0.0000000 0.00000000
## ID 0.2467532 0.4155844 0.4848485 0.09090909
## ORS 0.0000000 0.5032680 0.3250000 0.00000000
## CA 0.0000000 0.4378630 0.3982930 0.00000000
## WY 0.1295352 0.4805009 0.3465160 0.24873244
## Contig_534151_25 Contig_534681_89 Contig_535184_6 Contig_535372_13
## ORN 0.5384615 0.43956044 0.5333333 0.5274725
## ID 0.1731602 0.24675325 0.4789474 0.5194805
## ORS 0.1111111 0.11111111 0.2941176 0.3660131
## CA 0.0000000 0.05263158 0.5007112 0.5105708
## WY 0.1340206 0.16545455 0.3527470 0.5019571
## Contig_535713_51 Contig_535743_28 Contig_535948_53 Contig_537335_27
## ORN 0.5333333 0.0000000 0.5000000 0.0000000
## ID 0.5194805 0.5194805 0.0000000 0.0000000
## ORS 0.5274725 0.1250000 0.3660131 0.3626374
## CA 0.5105708 0.0000000 0.3857143 0.3282051
## WY 0.5019678 0.4103757 0.0000000 0.0746826
## Contig_537428_35 Contig_538921_132 Contig_539276_56 Contig_539646_96
## ORN 0.5 0.0000000 0.2333333 0.3626374
## ID 0.0 0.4545455 0.2684211 0.5052632
## ORS 0.4 0.1111111 0.5000000 0.4000000
## CA 0.0 0.0000000 0.1765389 0.1846154
## WY 0.0 0.3918265 0.2019407 0.4706147
## Contig_539719_6 Contig_539805_36 Contig_540007_29 Contig_540210_92
## ORN 0.5000000 0.4848485 0.0000000 0.0000000
## ID 0.3116883 0.1250000 0.0000000 0.2467532
## ORS 0.4000000 0.4848485 0.0000000 0.5228758
## CA 0.2731152 0.4936121 0.0000000 0.2148664
## WY 0.5032611 0.3864146 0.2207207 0.2884070
## Contig_540772_8 Contig_541630_51 Contig_542118_75 Contig_543007_30
## ORN 0.5274725 0.00000000 0.43956044 0.40000000
## ID 0.5238095 0.31168831 0.09090909 0.10000000
## ORS 0.5000000 0.00000000 0.42483660 0.00000000
## CA 0.5121951 0.05263158 0.08879493 0.50000000
## WY 0.4465409 0.15438596 0.16379526 0.01818182
## Contig_543273_45 Contig_543534_88 Contig_543896_64 Contig_543981_48
## ORN 0.2333333 0.16666667 0.4395604 0.5274725
## ID 0.1731602 0.00000000 0.5052632 0.5194805
## ORS 0.1111111 0.47058824 0.4248366 0.0000000
## CA 0.3982930 0.15714286 0.1765389 0.3282051
## WY 0.3607843 0.01724138 0.3100450 0.4012579
## Contig_545074_115 Contig_545351_12 Contig_546038_28 Contig_546178_106
## ORN 0.5384615 0.45833333 0.2637363 0.4945055
## ID 0.3679654 0.09090909 0.3679654 0.3679654
## ORS 0.0000000 0.20915033 0.2091503 0.2333333
## CA 0.1423077 0.32820513 0.1423077 0.0000000
## WY 0.2038503 0.11473514 0.3634246 0.4578161
## Contig_546917_56 Contig_547318_36 Contig_547638_22 Contig_547666_23
## ORN 0.5333333 0.1250000 0.1428571 0.0000000
## ID 0.3368421 0.3679654 0.0000000 0.1731602
## ORS 0.1250000 0.1111111 0.0000000 0.0000000
## CA 0.2031746 0.4831591 0.1934566 0.0000000
## WY 0.1596341 0.3022876 0.1433906 0.1494886
## Contig_548073_51 Contig_548559_19 Contig_548820_33 Contig_549331_66
## ORN 0.4583333 0.5384615 0.4000000 0.4945055
## ID 0.4848485 0.4155844 0.4545455 0.3368421
## ORS 0.0000000 0.4705882 0.1250000 0.4848485
## CA 0.0000000 0.4307692 0.3044397 0.4509804
## WY 0.4496801 0.3612641 0.3397683 0.2114286
## Contig_549334_51 Contig_549555_16 Contig_549667_50 Contig_550402_59
## ORN 0.00000000 0.1250000 0.0000000 0.5274725
## ID 0.00000000 0.4155844 0.0000000 0.1731602
## ORS 0.32500000 0.0000000 0.1666667 0.3250000
## CA 0.28571429 0.0000000 0.0000000 0.5076923
## WY 0.02083333 0.2474227 0.1431127 0.2831155
## Contig_550640_7 Contig_550819_110 Contig_551037_65 Contig_551527_44
## ORN 0.0000000 0.12500000 0.4945055 0.5333333
## ID 0.5194805 0.41558442 0.5052632 0.4545455
## ORS 0.0000000 0.36601307 0.1428571 0.5228758
## CA 0.3857143 0.05263158 0.0000000 0.4923077
## WY 0.4395960 0.36920849 0.4957058 0.1993769
## Contig_551543_64 Contig_551739_66 Contig_552092_6 Contig_553235_6
## ORN 0.30303030 0.0000000 0.5250000 0.4000000
## ID 0.00000000 0.1731602 0.4545455 0.3116883
## ORS 0.45833333 0.0000000 0.5274725 0.0000000
## CA 0.41269841 0.0000000 0.5120910 0.0000000
## WY 0.05590956 0.2897118 0.5017159 0.3629287
## Contig_553437_40 Contig_553512_15 Contig_554591_92 Contig_556637_38
## ORN 0.0000000 0.5384615 0.4848485 0.00000000
## ID 0.3947368 0.5238095 0.3679654 0.36796537
## ORS 0.2091503 0.5294118 0.5032680 0.29411765
## CA 0.4181185 0.4666667 0.3145161 0.09291521
## WY 0.1762392 0.4984661 0.3242060 0.45211733
## Contig_557161_74 Contig_558410_87 Contig_558742_26 Contig_558872_22
## ORN 0.45833333 0.00000000 0.00000000 0.5384615
## ID 0.00000000 0.09090909 0.09090909 0.5210526
## ORS 0.14285714 0.00000000 0.00000000 0.5333333
## CA 0.50793651 0.04761905 0.05000000 0.5116279
## WY 0.07610173 0.13151515 0.25334886 0.5033538
## Contig_559342_69 Contig_559505_78 Contig_559799_29 Contig_559987_82
## ORN 0.4395604 0.4945055 0.4848485 0.4395604
## ID 0.2467532 0.5194805 0.5194805 0.4545455
## ORS 0.5250000 0.5294118 0.5032680 0.4248366
## CA 0.5007112 0.4807692 0.4866310 0.5017422
## WY 0.2085384 0.4739947 0.4916895 0.4443842
## Contig_560035_35 Contig_560852_131 Contig_561284_88 Contig_561451_35
## ORN 0.1250000 0.00000000 0.1428571 0.1428571
## ID 0.1000000 0.10000000 0.3368421 0.5194805
## ORS 0.0000000 0.20915033 0.5250000 0.1111111
## CA 0.0000000 0.05263158 0.3449477 0.0500000
## WY 0.2492532 0.39866725 0.3787879 0.4968944
## Contig_561578_16 Contig_561920_124 Contig_562109_78 Contig_562279_83
## ORN 0.4583333 0.3626374 0.3626374 0.40909091
## ID 0.2467532 0.2467532 0.3679654 0.00000000
## ORS 0.0000000 0.0000000 0.2091503 0.12500000
## CA 0.1657754 0.0000000 0.4509804 0.39829303
## WY 0.1910007 0.1624927 0.2175313 0.04915966
## Contig_562437_66 Contig_563110_78 Contig_563201_34 Contig_563628_27
## ORN 0.2637363 0.36263736 0.5333333 0.4583333
## ID 0.2467532 0.45454545 0.5333333 0.1731602
## ORS 0.2941176 0.23333333 0.5250000 0.1111111
## CA 0.1024182 0.05555556 0.5012821 0.0000000
## WY 0.1408805 0.25981338 0.5026976 0.1315152
## Contig_564990_69 Contig_565915_44 Contig_566780_133 Contig_567656_74
## ORN 0.0000000 0.00000000 0.14285714 0.5303030
## ID 0.2467532 0.00000000 0.18947368 0.3116883
## ORS 0.0000000 0.00000000 0.16666667 0.0000000
## CA 0.0000000 0.38372093 0.20915033 0.0000000
## WY 0.2729875 0.01694915 0.07802255 0.1245283
## Contig_567687_91 Contig_567956_85 Contig_568193_99 Contig_568761_25
## ORN 0.40909091 0.3626374 0.4395604 0.40000000
## ID 0.24675325 0.5052632 0.3368421 0.41558442
## ORS 0.32500000 0.0000000 0.3626374 0.12500000
## CA 0.04761905 0.0000000 0.4509804 0.04761905
## WY 0.38328841 0.4552229 0.3397683 0.28505051
## Contig_569021_77 Contig_569417_122 Contig_569892_103 Contig_571017_19
## ORN 0.1250000 0.12500000 0.45833333 0.3250000
## ID 0.4421053 0.18947368 0.09090909 0.5210526
## ORS 0.1428571 0.43956044 0.11111111 0.4248366
## CA 0.0000000 0.05882353 0.00000000 0.4378630
## WY 0.3489097 0.13151515 0.14209402 0.4640748
## Contig_572241_40 Contig_573194_24 Contig_573269_26 Contig_573348_32
## ORN 0.53030303 0.5333333 0.1250000 0.00000000
## ID 0.09090909 0.3250000 0.3660131 0.24675325
## ORS 0.00000000 0.0000000 0.4248366 0.23333333
## CA 0.00000000 0.1024182 0.0000000 0.50128205
## WY 0.11639833 0.5038610 0.1943312 0.09415647
## Contig_573445_87 Contig_573642_13 Contig_574349_24 Contig_575527_122
## ORN 0.5250000 0.1428571 0.5333333 0.4666667
## ID 0.4545455 0.5210526 0.5238095 0.2467532
## ORS 0.4705882 0.4945055 0.5250000 0.3030303
## CA 0.4807692 0.4923077 0.5116279 0.4500000
## WY 0.4106447 0.4301718 0.5029697 0.3130590
## Contig_576000_101 Contig_576093_32 Contig_576150_66 Contig_576433_11
## ORN 0.4848485 0.3626374 0.5454545 0.1428571
## ID 0.1111111 0.0000000 0.5210526 0.4155844
## ORS 0.3626374 0.5228758 0.5250000 0.4583333
## CA 0.0000000 0.2615385 0.5007112 0.2139037
## WY 0.2628827 0.1245098 0.4999501 0.1762392
## Contig_577398_42 Contig_577457_7 Contig_577770_4 Contig_578019_130
## ORN 0.0000000 0.0000000 0.4000000 0.1250000
## ID 0.1731602 0.1731602 0.5263158 0.1731602
## ORS 0.3250000 0.0000000 0.0000000 0.1250000
## CA 0.3413940 0.1423077 0.0000000 0.0000000
## WY 0.1267737 0.1023166 0.5032611 0.1961635
## Contig_578322_93 Contig_578797_43 Contig_579142_128 Contig_580075_69
## ORN 0.3626374 0.4583333 0.5384615 0.00000000
## ID 0.4545455 0.4545455 0.5194805 0.00000000
## ORS 0.4395604 0.4705882 0.5228758 0.00000000
## CA 0.5075494 0.4947146 0.5128205 0.51209104
## WY 0.4300654 0.2334432 0.5019639 0.03007171
## Contig_580724_40 Contig_580825_24 Contig_580829_10 Contig_581723_105
## ORN 0.0000000 0.1250000 0.0000000 0.54545455
## ID 0.2467532 0.1731602 0.2467532 0.18947368
## ORS 0.1111111 0.1428571 0.2091503 0.42483660
## CA 0.2961538 0.0000000 0.0974359 0.37166086
## WY 0.2091503 0.1473016 0.2808989 0.01886792
## Contig_582443_22 Contig_582571_96 Contig_582603_84 Contig_582771_46
## ORN 0.5250000 0.3250000 0.4395604 0.1428571
## ID 0.5064935 0.4545455 0.3679654 0.3116883
## ORS 0.5250000 0.2091503 0.5000000 0.0000000
## CA 0.1024182 0.1846154 0.5017422 0.0000000
## WY 0.4659670 0.4861837 0.3897143 0.1161372
## Contig_583795_78 Contig_584151_64 Contig_584314_23 Contig_584559_8
## ORN 0.50000000 0.23333333 0.0000000 0.1428571
## ID 0.24675325 0.00000000 0.1731602 0.0000000
## ORS 0.00000000 0.00000000 0.0000000 0.5032680
## CA 0.04761905 0.29615385 0.0000000 0.5141129
## WY 0.30458672 0.08408982 0.3886869 0.1491313
## Contig_584799_7 Contig_584841_64 Contig_585177_23 Contig_586655_123
## ORN 0.5384615 0.4945055 0.5250000 0.0000000
## ID 0.5294118 0.1731602 0.4155844 0.1731602
## ORS 0.4945055 0.3250000 0.5032680 0.2333333
## CA 0.4807692 0.1024182 0.5110337 0.2721774
## WY 0.4848485 0.2284848 0.3032138 0.0366909
## Contig_586821_14 Contig_587244_9 Contig_587728_96 Contig_587802_55
## ORN 0.1250000 0.0000000 0.00000000 0.5274725
## ID 0.4421053 0.1731602 0.09090909 0.1731602
## ORS 0.4705882 0.0000000 0.00000000 0.4945055
## CA 0.5120910 0.3960511 0.00000000 0.4010695
## WY 0.3860477 0.3625272 0.14599107 0.1486869
## Contig_587839_103 Contig_588056_14 Contig_588211_76 Contig_589057_18
## ORN 0.2333333 0.4395604 0.3626374 0.0000000
## ID 0.5064935 0.4848485 0.5228758 0.3116883
## ORS 0.5000000 0.5250000 0.0000000 0.0000000
## CA 0.3716609 0.4365079 0.0000000 0.0000000
## WY 0.4779742 0.3368185 0.4060866 0.3593048
## Contig_589189_19 Contig_589517_28 Contig_589721_43 Contig_590136_6
## ORN 0.3250000 0.14285714 0.4945055 0.5357143
## ID 0.5228758 0.00000000 0.5210526 0.0000000
## ORS 0.5250000 0.00000000 0.5250000 0.4583333
## CA 0.0000000 0.34139403 0.4907539 0.5080460
## WY 0.4512821 0.04122807 0.5038610 0.2687675
## Contig_590471_72 Contig_590692_128 Contig_591099_58 Contig_591102_85
## ORN 0.0000000 0.0000000 0.5000000 0.4395604
## ID 0.3116883 0.1731602 0.4789474 0.3116883
## ORS 0.0000000 0.1111111 0.4000000 0.4583333
## CA 0.0000000 0.2410148 0.2961538 0.5000000
## WY 0.2562343 0.1705056 0.4256303 0.3570175
## Contig_591166_70 Contig_591290_62 Contig_591496_103 Contig_591559_109
## ORN 0.00000000 0.0000000 0.4583333 0.5384615
## ID 0.00000000 0.0000000 0.3679654 0.4545455
## ORS 0.52500000 0.2333333 0.5032680 0.5000000
## CA 0.49230769 0.4365079 0.1423077 0.2347084
## WY 0.01449275 0.0000000 0.2846361 0.3638814
## Contig_591658_97 Contig_592861_24 Contig_593759_47 Contig_594032_60
## ORN 0.5555556 0.3626374 0.5274725 0.1250000
## ID 0.5064935 0.3947368 0.4848485 0.4545455
## ORS 0.4848485 0.1111111 0.0000000 0.3660131
## CA 0.2243590 0.0000000 0.2857143 0.3837209
## WY 0.4979085 0.3260124 0.3918265 0.1951761
## Contig_594183_95 Contig_594574_20 Contig_595851_119 Contig_596160_95
## ORN 0.2333333 0.0000000 0.0000000 0.3626374
## ID 0.4545455 0.3679654 0.2467532 0.5263158
## ORS 0.3660131 0.4395604 0.0000000 0.5228758
## CA 0.3413940 0.3159117 0.1423077 0.3982930
## WY 0.2391769 0.3597169 0.2109228 0.4907344
## Contig_596420_7 Contig_596775_33 Contig_597046_16 Contig_597078_45
## ORN 0.00000000 0.00000000 0.5303030 0.0000000
## ID 0.09090909 0.00000000 0.4545455 0.3679654
## ORS 0.32500000 0.00000000 0.5294118 0.0000000
## CA 0.29615385 0.34494774 0.3449477 0.0000000
## WY 0.04997827 0.04915966 0.4841153 0.3577778
## Contig_597212_118 Contig_597260_10 Contig_598176_85 Contig_598835_46
## ORN 0.43956044 0.5454545 0.0000000 0.3250000
## ID 0.09090909 0.4155844 0.0000000 0.5032680
## ORS 0.11111111 0.2637363 0.0000000 0.3250000
## CA 0.34494774 0.0000000 0.1358885 0.0000000
## WY 0.16429133 0.2803738 0.1943312 0.3602699
## Contig_598976_11 Contig_599215_34 Contig_600353_77 Contig_600614_27
## ORN 0.3626374 0.1428571 0.00000000 0.1428571
## ID 0.4421053 0.5210526 0.45454545 0.2684211
## ORS 0.4583333 0.0000000 0.00000000 0.0000000
## CA 0.3555556 0.0974359 0.09291521 0.0000000
## WY 0.4310259 0.4769948 0.18605664 0.4491228
## Contig_601092_21 Contig_601442_128 Contig_602367_78 Contig_602779_22
## ORN 0.3250000 0.26373626 0.0000000 0.5000000
## ID 0.3116883 0.17316017 0.3368421 0.3116883
## ORS 0.4583333 0.45833333 0.0000000 0.2091503
## CA 0.0500000 0.08879493 0.1358885 0.0000000
## WY 0.4272957 0.19774011 0.3158005 0.2607562
## Contig_602878_56 Contig_603128_42 Contig_603452_88 Contig_603619_36
## ORN 0.5333333 0.2637363 0.5333333 0.0000000
## ID 0.4155844 0.3116883 0.5238095 0.4545455
## ORS 0.5032680 0.4000000 0.5294118 0.0000000
## CA 0.4571429 0.4657258 0.5076923 0.1493599
## WY 0.3817531 0.1143928 0.5041286 0.4867925
## Contig_603750_107 Contig_604643_70 Contig_604644_115 Contig_605087_42
## ORN 0.0000000 0.1428571 0.40000000 0.53030303
## ID 0.1111111 0.4848485 0.09090909 0.52380952
## ORS 0.2091503 0.2091503 0.20915033 0.16666667
## CA 0.0625000 0.0000000 0.19345661 0.05263158
## WY 0.1202669 0.4049844 0.01724138 0.50305663
## Contig_605479_10 Contig_606701_119 Contig_606821_23 Contig_607941_45
## ORN 0.0000000 0.5333333 0.43956044 0.5274725
## ID 0.2333333 0.2467532 0.09090909 0.5238095
## ORS 0.2637363 0.2333333 0.26373626 0.5294118
## CA 0.2243590 0.2148664 0.45000000 0.5121951
## WY 0.1274808 0.3682018 0.18139535 0.4992163
## Contig_608066_20 Contig_608079_53 Contig_608645_75 Contig_608934_14
## ORN 0.4285714 0.1666667 0.4090909 0.3626374
## ID 0.4421053 0.1000000 0.3679654 0.4848485
## ORS 0.5303030 0.3626374 0.5454545 0.3660131
## CA 0.4947146 0.0000000 0.3846154 0.3846154
## WY 0.4494445 0.1235605 0.3780488 0.5008254
## Contig_609268_130 Contig_609436_32 Contig_609789_22 Contig_609832_76
## ORN 0.4583333 0.5274725 0.23333333 0.53333333
## ID 0.2684211 0.5064935 0.17316017 0.00000000
## ORS 0.2941176 0.5032680 0.20915033 0.29411765
## CA 0.5116279 0.4365079 0.08879493 0.04761905
## WY 0.4181587 0.4207677 0.11001798 0.01612903
## Contig_609862_63 Contig_610004_5 Contig_610514_32 Contig_611411_51
## ORN 0.5303030 0.0000000 0.3030303 0.00000000
## ID 0.3679654 0.3116883 0.0000000 0.00000000
## ORS 0.5274725 0.0000000 0.3250000 0.29411765
## CA 0.4509804 0.0000000 0.0000000 0.50782361
## WY 0.3607843 0.1589205 0.1118229 0.08053221
## Contig_612033_120 Contig_612088_106 Contig_612151_19 Contig_613023_7
## ORN 0.2333333 0.52747253 0.4583333 0.4395604
## ID 0.3116883 0.00000000 0.3679654 0.3947368
## ORS 0.3250000 0.12500000 0.3660131 0.4090909
## CA 0.4059197 0.38461538 0.3846154 0.4439746
## WY 0.2797203 0.03418291 0.1786061 0.3986672
## Contig_613377_28 Contig_614097_55 Contig_614286_36 Contig_616096_26
## ORN 0.40909091 0.1250000 0.2637363 0.36263736
## ID 0.42483660 0.1000000 0.4248366 0.24675325
## ORS 0.00000000 0.0000000 0.5274725 0.00000000
## CA 0.04761905 0.0000000 0.4831591 0.09291521
## WY 0.30228758 0.1851462 0.3906997 0.26288275
## Contig_617743_44 Contig_618045_92 Contig_619472_118 Contig_619489_83
## ORN 0.00000000 0.5303030 0.26373626 0.5714286
## ID 0.09090909 0.0000000 0.45454545 0.1894737
## ORS 0.00000000 0.5228758 0.00000000 0.3555556
## CA 0.00000000 0.3857143 0.04761905 0.1862069
## WY 0.22713643 0.0000000 0.37376460 0.2523238
## Contig_619933_15 Contig_620570_72 Contig_620651_101 Contig_621909_57
## ORN 0.5303030 0.0000000 0.5357143 0.5250000
## ID 0.5052632 0.1731602 0.4705882 0.2467532
## ORS 0.5333333 0.1111111 0.5303030 0.2091503
## CA 0.3857143 0.4807692 0.0974359 0.1846154
## WY 0.4346971 0.1745867 0.4317841 0.2471042
## Contig_622428_52 Contig_622752_18 Contig_623128_111 Contig_623992_46
## ORN 0.4583333 0.1428571 0.32500000 0.40909091
## ID 0.2467532 0.4155844 0.45454545 0.00000000
## ORS 0.5000000 0.4583333 0.12500000 0.00000000
## CA 0.4224751 0.1846154 0.04761905 0.28455285
## WY 0.2981818 0.4409586 0.22037037 0.01428571
## Contig_624187_42 Contig_624207_124 Contig_624236_108 Contig_625188_67
## ORN 0.4945055 0.5274725 0.2637363 0.1428571
## ID 0.1731602 0.1894737 0.1894737 0.3679654
## ORS 0.5333333 0.4705882 0.2091503 0.3250000
## CA 0.4438122 0.5141129 0.2031746 0.2347084
## WY 0.1316566 0.1629950 0.2607562 0.2492532
## Contig_625652_36 Contig_625877_84 Contig_625951_130 Contig_626503_38
## ORN 0.5250000 0.5274725 0.1250000 0.32500000
## ID 0.4545455 0.3679654 0.2467532 0.09090909
## ORS 0.5294118 0.5032680 0.2091503 0.52941176
## CA 0.4552846 0.4224751 0.3594080 0.13588850
## WY 0.1295352 0.3310345 0.1357199 0.05921814
## Contig_626738_84 Contig_626758_112 Contig_626902_36 Contig_628104_13
## ORN 0.3626374 0.0000000 0.0000000 0.46666667
## ID 0.4545455 0.2467532 0.4155844 0.09090909
## ORS 0.2091503 0.0000000 0.4583333 0.36601307
## CA 0.5126984 0.4979839 0.5080214 0.50000000
## WY 0.4238532 0.2352502 0.3320755 0.00000000
## Contig_628300_6 Contig_628451_104 Contig_628758_30 Contig_628814_21
## ORN 0.00000000 0.2333333 0.00000000 0.00000000
## ID 0.00000000 0.5064935 0.00000000 0.09090909
## ORS 0.52500000 0.1111111 0.36263736 0.23333333
## CA 0.17653891 0.0000000 0.38461538 0.00000000
## WY 0.01612903 0.4974936 0.01923077 0.22087379
## Contig_629097_12 Contig_629267_67 Contig_629731_106 Contig_630662_51
## ORN 0.00000000 0.5250000 0.4945055 0.1250000
## ID 0.00000000 0.5294118 0.1894737 0.2467532
## ORS 0.52747253 0.5000000 0.4583333 0.1428571
## CA 0.09743590 0.3982930 0.4224751 0.0000000
## WY 0.03100394 0.4931581 0.2487324 0.1731634
## Contig_630874_121 Contig_630962_30 Contig_631124_29 Contig_631833_8
## ORN 0.5384615 0.2000000 0.3250000 0.4583333
## ID 0.4155844 0.5294118 0.5210526 0.5194805
## ORS 0.5357143 0.0000000 0.0000000 0.5000000
## CA 0.4344828 0.0000000 0.5135135 0.4224751
## WY 0.3454777 0.4557721 0.5032033 0.4661684
## Contig_632366_31 Contig_633298_128 Contig_633647_99 Contig_633759_68
## ORN 0.26373626 0.36263736 0.0000000 0.3626374
## ID 0.17316017 0.17316017 0.1894737 0.4789474
## ORS 0.12500000 0.36601307 0.1250000 0.4583333
## CA 0.09291521 0.34139403 0.0000000 0.4746032
## WY 0.09836601 0.07199723 0.2453416 0.3402062
## Contig_633831_48 Contig_634604_85 Contig_634792_132 Contig_634895_25
## ORN 0.0000000 0.5333333 0.26373626 0.2333333
## ID 0.1894737 0.5238095 0.00000000 0.5194805
## ORS 0.0000000 0.5294118 0.36263736 0.0000000
## CA 0.0000000 0.5076923 0.37011494 0.0500000
## WY 0.2103420 0.4944884 0.08606821 0.4905839
## Contig_635387_132 Contig_635602_88 Contig_635983_84 Contig_636385_60
## ORN 0.5274725 0.0000000 0.5384615 0.2333333
## ID 0.5194805 0.2467532 0.3947368 0.4155844
## ORS 0.5228758 0.0000000 0.0000000 0.2333333
## CA 0.4224751 0.4224751 0.0000000 0.0000000
## WY 0.4769948 0.2761389 0.4763970 0.5034921
## Contig_636603_16 Contig_636821_22 Contig_637218_75 Contig_637702_84
## ORN 0.0000000 0.50000000 0.5274725 0.26373626
## ID 0.5194805 0.09090909 0.5064935 0.47894737
## ORS 0.0000000 0.00000000 0.4090909 0.00000000
## CA 0.0000000 0.00000000 0.4089744 0.05263158
## WY 0.5017883 0.06605824 0.2884070 0.31366692
## Contig_637715_33 Contig_638712_42 Contig_638730_39 Contig_639312_16
## ORN 0.0000000 0.5274725 0.5384615 0.0000000
## ID 0.4155844 0.4248366 0.4848485 0.4789474
## ORS 0.5384615 0.4000000 0.2091503 0.0000000
## CA 0.3846154 0.1493599 0.1846154 0.0000000
## WY 0.3682018 0.5030566 0.4912281 0.2839345
## Contig_639869_33 Contig_640063_113 Contig_640078_54 Contig_640353_49
## ORN 0.4945055 0.00000000 0.0000000 0.1250000
## ID 0.2684211 0.09090909 0.0000000 0.3116883
## ORS 0.4705882 0.45833333 0.1428571 0.2637363
## CA 0.4181185 0.51428571 0.4344828 0.0000000
## WY 0.4567270 0.20572451 0.0000000 0.1583415
## Contig_641893_22 Contig_643028_47 Contig_643696_120 Contig_644204_88
## ORN 0.1250000 0.5357143 0.4090909 0.00000000
## ID 0.3679654 0.3368421 0.5238095 0.20915033
## ORS 0.5228758 0.2333333 0.5032680 0.00000000
## CA 0.4923077 0.5110337 0.1691332 0.04761905
## WY 0.5033989 0.3100450 0.5008254 0.16680567
## Contig_644294_7 Contig_644441_115 Contig_644526_6 Contig_644749_106
## ORN 0.0000000 0.1428571 0.4000000 0.36263736
## ID 0.0000000 0.2467532 0.5000000 0.00000000
## ORS 0.1250000 0.3660131 0.5454545 0.40000000
## CA 0.4278075 0.0000000 0.4435484 0.42247511
## WY 0.0000000 0.1198730 0.4084710 0.01694915
## Contig_645328_14 Contig_646193_130 Contig_646544_18 Contig_647237_86
## ORN 0.0000000 0.4945055 0.5384615 0.26373626
## ID 0.3116883 0.5238095 0.5238095 0.09090909
## ORS 0.4000000 0.5228758 0.5294118 0.29411765
## CA 0.0500000 0.4509804 0.5121951 0.43650794
## WY 0.1315152 0.5018671 0.5041322 0.00000000
## Contig_647476_36 Contig_647560_56 Contig_647572_17 Contig_647585_50
## ORN 0.1250000 0.23333333 0.4090909 0.5274725
## ID 0.4545455 0.09090909 0.1894737 0.4155844
## ORS 0.5032680 0.11111111 0.5250000 0.5274725
## CA 0.1846154 0.42247511 0.5151515 0.2615385
## WY 0.3847690 0.11842105 0.1910007 0.3136669
## Contig_648576_59 Contig_649482_16 Contig_650969_26 Contig_651993_42
## ORN 0.00000000 0.5384615 0.43956044 0.14285714
## ID 0.24675325 0.5194805 0.00000000 0.20915033
## ORS 0.29411765 0.5384615 0.40000000 0.11111111
## CA 0.04545455 0.4947146 0.00000000 0.46666667
## WY 0.30196078 0.4595226 0.03959596 0.04836743
## Contig_652384_121 Contig_652537_103 Contig_652900_70 Contig_652901_12
## ORN 0.49450549 0.3626374 0.5384615 0.3250000
## ID 0.00000000 0.1000000 0.3679654 0.2684211
## ORS 0.50326797 0.5274725 0.4395604 0.5032680
## CA 0.35555556 0.0000000 0.3716609 0.4181185
## WY 0.01923077 0.1877808 0.3901910 0.1741830
## Contig_652945_94 Contig_653258_58 Contig_653848_46 Contig_655697_50
## ORN 0.1250000 0.0000000 0.1250000 0.3626374
## ID 0.4155844 0.2467532 0.4545455 0.3368421
## ORS 0.2941176 0.0000000 0.0000000 0.5303030
## CA 0.5000000 0.0000000 0.0000000 0.4089744
## WY 0.4193361 0.2284848 0.3282138 0.2805281
## Contig_656271_82 Contig_656884_69 Contig_657292_76 Contig_657364_92
## ORN 0.3250000 0.3626374 0.4395604 0.00000000
## ID 0.5064935 0.3116883 0.3116883 0.10000000
## ORS 0.4000000 0.5000000 0.5384615 0.00000000
## CA 0.0000000 0.5105708 0.5161290 0.05263158
## WY 0.4845873 0.4335586 0.1731634 0.31004498
## Contig_657428_33 Contig_658157_63 Contig_658325_98 Contig_659578_89
## ORN 0.0000000 0.3626374 0.0000000 0.5274725
## ID 0.0000000 0.3116883 0.3116883 0.4155844
## ORS 0.1250000 0.5032680 0.3660131 0.5333333
## CA 0.5121951 0.5012821 0.0000000 0.5080214
## WY 0.0000000 0.2334432 0.2313725 0.3584765
## Contig_659852_90 Contig_659872_69 Contig_660058_15 Contig_660422_75
## ORN 0.5333333 0.32500000 0.1250000 0.0000000
## ID 0.5238095 0.17316017 0.1731602 0.2684211
## ORS 0.5294118 0.20915033 0.0000000 0.2091503
## CA 0.5128205 0.05000000 0.0000000 0.4779516
## WY 0.5037011 0.08053221 0.2293359 0.2070463
## Contig_661025_40 Contig_661556_12 Contig_662370_86 Contig_662967_82
## ORN 0.2333333 0.1250000 0.40000000 0.1250000
## ID 0.4545455 0.0000000 0.31168831 0.5238095
## ORS 0.4583333 0.2941176 0.32500000 0.0000000
## CA 0.0000000 0.0000000 0.05555556 0.0000000
## WY 0.3612641 0.1006055 0.03882741 0.2699672
## Contig_663007_45 Contig_663517_36 Contig_663782_71 Contig_663807_46
## ORN 0.00000000 0.00000000 0.1250000 0.0000000
## ID 0.36796537 0.09090909 0.2467532 0.0000000
## ORS 0.43956044 0.00000000 0.4248366 0.5000000
## CA 0.04761905 0.00000000 0.3846154 0.3960511
## WY 0.23627955 0.18710645 0.1963583 0.0000000
## Contig_663933_26 Contig_664287_43 Contig_665010_7 Contig_665409_67
## ORN 0.0000000 0.5250000 0.0000000 0.3626374
## ID 0.3368421 0.5194805 0.2684211 0.4155844
## ORS 0.5303030 0.2333333 0.0000000 0.5333333
## CA 0.4705882 0.4500000 0.0000000 0.3857143
## WY 0.2468571 0.5035948 0.4443615 0.2715152
## Contig_665462_89 Contig_665689_97 Contig_666334_123 Contig_666803_100
## ORN 0.1250000 0.2637363 0.0000000 0.00000000
## ID 0.1731602 0.0000000 0.2467532 0.17316017
## ORS 0.1111111 0.2333333 0.0000000 0.11111111
## CA 0.2061311 0.0000000 0.0500000 0.04545455
## WY 0.1070822 0.4085526 0.1118229 0.15687332
## Contig_666938_115 Contig_667222_92 Contig_667230_69 Contig_667452_52
## ORN 0.0000000 0.1428571 0.23333333 0.2637363
## ID 0.3116883 0.5064935 0.31168831 0.1731602
## ORS 0.0000000 0.2091503 0.45833333 0.0000000
## CA 0.0000000 0.1934566 0.05555556 0.0000000
## WY 0.1399160 0.4354448 0.11824324 0.1274808
## Contig_667456_44 Contig_667968_103 Contig_668324_71 Contig_668439_60
## ORN 0.12500000 0.5274725 0.0000000 0.45833333
## ID 0.09090909 0.4545455 0.2091503 0.24675325
## ORS 0.36601307 0.3626374 0.0000000 0.00000000
## CA 0.15714286 0.2857143 0.0000000 0.05263158
## WY 0.19107102 0.4879066 0.3070866 0.49252572
## Contig_668765_40 Contig_668869_107 Contig_669119_49 Contig_669412_62
## ORN 0.5333333 0.5274725 0.5250000 0.0000000
## ID 0.5238095 0.4155844 0.0000000 0.3679654
## ORS 0.5294118 0.5032680 0.4705882 0.0000000
## CA 0.5105708 0.2737844 0.0000000 0.0000000
## WY 0.5034462 0.2732026 0.0000000 0.2421569
## Contig_669759_56 Contig_671399_50 Contig_671530_19 Contig_671843_54
## ORN 0.2637363 0.3626374 0.4583333 0.0000000
## ID 0.0000000 0.5210526 0.3679654 0.2467532
## ORS 0.0000000 0.5294118 0.1250000 0.2333333
## CA 0.0000000 0.5075494 0.0000000 0.2410148
## WY 0.1459911 0.5005434 0.2085384 0.2798054
## Contig_672165_57 Contig_672553_9 Contig_672746_113 Contig_672817_31
## ORN 0.5274725 0.2000000 0.5333333 0.3626374
## ID 0.3116883 0.2091503 0.2684211 0.5194805
## ORS 0.5032680 0.4583333 0.3660131 0.4945055
## CA 0.3449477 0.2347084 0.5149425 0.4888889
## WY 0.2109228 0.2727511 0.1877808 0.4892254
## Contig_673007_18 Contig_673369_121 Contig_673560_94 Contig_673562_31
## ORN 0.40000000 0.2637363 0.0000000 0.0000000
## ID 0.09090909 0.2941176 0.2684211 0.1731602
## ORS 0.36601307 0.5250000 0.3250000 0.1111111
## CA 0.00000000 0.2243590 0.5080214 0.0500000
## WY 0.11613718 0.2733993 0.2238157 0.3385953
## Contig_674137_19 Contig_674716_27 Contig_674832_9 Contig_675305_45
## ORN 0.0000000 0.1428571 0.5384615 0.4000000
## ID 0.3116883 0.0000000 0.5238095 0.3679654
## ORS 0.1111111 0.2333333 0.5294118 0.0000000
## CA 0.5012821 0.0974359 0.5128205 0.0000000
## WY 0.4118404 0.1223607 0.5050505 0.3694153
## Contig_675918_24 Contig_676286_86 Contig_676850_25 Contig_677637_62
## ORN 0.5384615 0.1250000 0.0000000 0.00000000
## ID 0.1894737 0.1731602 0.0000000 0.09090909
## ORS 0.5032680 0.0000000 0.2333333 0.20915033
## CA 0.4224751 0.0000000 0.5078236 0.10241821
## WY 0.3824424 0.1408805 0.0000000 0.14517717
## Contig_677702_30 Contig_677902_22 Contig_678451_4 Contig_678493_22
## ORN 0.4848485 0.53030303 0.1428571 0.5333333
## ID 0.4155844 0.44210526 0.2467532 0.5263158
## ORS 0.1111111 0.32500000 0.1111111 0.5294118
## CA 0.0500000 0.29615385 0.3086771 0.5126984
## WY 0.1815126 0.06716642 0.3778626 0.5051476
## Contig_679433_91 Contig_679608_45 Contig_679699_62 Contig_680010_99
## ORN 0.0000000 0.32500000 0.0000000 0.23333333
## ID 0.0000000 0.41558442 0.2467532 0.00000000
## ORS 0.2333333 0.32500000 0.0000000 0.29411765
## CA 0.3159117 0.09291521 0.0000000 0.00000000
## WY 0.0000000 0.22072072 0.1254902 0.08184847
## Contig_680619_70 Contig_680872_124 Contig_681509_53 Contig_681855_76
## ORN 0.0000000 0.0000000 0.5555556 0.49450549
## ID 0.4545455 0.0000000 0.3368421 0.52380952
## ORS 0.4705882 0.2941176 0.4090909 0.12500000
## CA 0.2460317 0.4378630 0.3846154 0.09291521
## WY 0.4348670 0.0000000 0.3207547 0.48160535
## Contig_682436_98 Contig_682536_54 Contig_682727_9 Contig_683502_73
## ORN 0.1428571 0.4945055 0.5274725 0.0000000
## ID 0.4421053 0.3947368 0.2684211 0.1731602
## ORS 0.2333333 0.3250000 0.2333333 0.2637363
## CA 0.2508711 0.2857143 0.2347084 0.0000000
## WY 0.4946695 0.3684848 0.3738550 0.1820225
## Contig_683628_25 Contig_684095_60 Contig_684264_48 Contig_684982_71
## ORN 0.4848485 0.00000000 0.0000000 0.0000000
## ID 0.3116883 0.09090909 0.3679654 0.1111111
## ORS 0.3030303 0.45833333 0.2941176 0.5384615
## CA 0.0500000 0.00000000 0.4991087 0.3413940
## WY 0.4109882 0.28505051 0.2590793 0.2508741
## Contig_685125_40 Contig_685352_16 Contig_685600_118 Contig_686159_35
## ORN 0.4666667 0.12500000 0.5274725 0.5333333
## ID 0.4848485 0.09090909 0.0000000 0.5238095
## ORS 0.0000000 0.30303030 0.3660131 0.5294118
## CA 0.2961538 0.41269841 0.0000000 0.5073996
## WY 0.2918801 0.34890966 0.0000000 0.5019685
## Contig_686889_30 Contig_686989_108 Contig_687064_7 Contig_687264_76
## ORN 0.5384615 0.5303030 0.1250000 0.5000000
## ID 0.5194805 0.4155844 0.1731602 0.0000000
## ORS 0.1111111 0.4945055 0.0000000 0.5032680
## CA 0.0000000 0.5078236 0.0000000 0.4866310
## WY 0.4897870 0.4618849 0.1596341 0.1162863
## Contig_688621_99 Contig_688782_40 Contig_689237_9 Contig_689290_86
## ORN 0.0000000 0.1428571 0.5333333 0.0000000
## ID 0.3116883 0.3679654 0.5238095 0.0000000
## ORS 0.0000000 0.0000000 0.5294118 0.2091503
## CA 0.0000000 0.0000000 0.5110337 0.3329810
## WY 0.3475139 0.3385953 0.5029412 0.1712598
## Contig_689388_101 Contig_689964_109 Contig_690116_21 Contig_690222_30
## ORN 0.4945055 0.53030303 0.0000000 0.2333333
## ID 0.1731602 0.17316017 0.3679654 0.1731602
## ORS 0.0000000 0.12500000 0.2091503 0.4705882
## CA 0.0000000 0.18461538 0.0000000 0.3413940
## WY 0.1181102 0.04039554 0.4468085 0.1637953
## Contig_691094_128 Contig_691891_22 Contig_692332_71 Contig_692677_76
## ORN 0.00000000 0.0000000 0.0000000 0.3030303
## ID 0.45454545 0.3116883 0.3116883 0.3660131
## ORS 0.00000000 0.0000000 0.0000000 0.2941176
## CA 0.05263158 0.0000000 0.0000000 0.4888889
## WY 0.35363881 0.2732026 0.1696089 0.2715152
## Contig_693933_8 Contig_694451_123 Contig_694740_61 Contig_694834_9
## ORN 0.5303030 0.14285714 0.2333333 0.2333333
## ID 0.5210526 0.00000000 0.2091503 0.1731602
## ORS 0.1111111 0.40000000 0.3030303 0.1428571
## CA 0.2731152 0.42328042 0.3086771 0.1846154
## WY 0.4773166 0.01851852 0.2352502 0.1725067
## Contig_695602_70 Contig_695851_80 Contig_696027_27 Contig_696060_91
## ORN 0.5000000 0.52747253 0.5333333 0.0000000
## ID 0.1731602 0.00000000 0.5238095 0.1731602
## ORS 0.5032680 0.53333333 0.5294118 0.2941176
## CA 0.0000000 0.38571429 0.5115385 0.0000000
## WY 0.1788376 0.01724138 0.4837314 0.1161372
## Contig_696146_20 Contig_696775_32 Contig_697319_116 Contig_697562_22
## ORN 0.00000000 0.1428571 0.1666667 0.4666667
## ID 0.24675325 0.3368421 0.1000000 0.5032680
## ORS 0.11111111 0.1250000 0.2637363 0.5714286
## CA 0.04761905 0.4378630 0.3716609 0.5128205
## WY 0.12356049 0.3584765 0.1245098 0.3868066
## Contig_700091_47 Contig_700382_20 Contig_700528_56 Contig_700657_65
## ORN 0.4395604 0.5274725 0.45833333 0.50000000
## ID 0.3368421 0.4848485 0.09090909 0.00000000
## ORS 0.1428571 0.5000000 0.14285714 0.36601307
## CA 0.0000000 0.4936121 0.00000000 0.37126600
## WY 0.4806061 0.4351819 0.36388140 0.02040816
## Contig_700712_81 Contig_701747_20 Contig_701859_76 Contig_701885_33
## ORN 0.4395604 0.0000000 0.5357143 0.4583333
## ID 0.5238095 0.3947368 0.1250000 0.4848485
## ORS 0.5000000 0.2333333 0.5333333 0.3626374
## CA 0.3846154 0.0000000 0.4923077 0.2994652
## WY 0.3739683 0.1705056 0.2452381 0.4975805
## Contig_701893_6 Contig_702133_78 Contig_702397_25 Contig_702858_89
## ORN 0.3626374 0.43956044 0.0000000 0.3626374
## ID 0.0000000 0.09090909 0.3368421 0.0000000
## ORS 0.4705882 0.52941176 0.0000000 0.4583333
## CA 0.4059197 0.50128205 0.0000000 0.5110337
## WY 0.0000000 0.18165138 0.1865397 0.0000000
## Contig_703206_6 Contig_703987_121 Contig_704042_44 Contig_704138_11
## ORN 0.4848485 0.5274725 0.0000000 0.0000000
## ID 0.5194805 0.2941176 0.3679654 0.1731602
## ORS 0.2091503 0.3250000 0.5032680 0.2091503
## CA 0.5012821 0.4888889 0.1358885 0.0000000
## WY 0.2474227 0.4718932 0.2568345 0.1421405
## Contig_705880_49 Contig_705980_62 Contig_706006_46 Contig_706193_114
## ORN 0.50000000 0.0000000 0.2000000 0.0000000
## ID 0.17316017 0.3116883 0.5210526 0.2091503
## ORS 0.52287582 0.0000000 0.2000000 0.1250000
## CA 0.41811847 0.0000000 0.4378630 0.0000000
## WY 0.01694915 0.3355069 0.4371964 0.2234921
## Contig_706648_26 Contig_707178_78 Contig_707293_61 Contig_707449_78
## ORN 0.00000000 0.14285714 0.2637363 0.1666667
## ID 0.24675325 0.10000000 0.0000000 0.2467532
## ORS 0.00000000 0.36601307 0.0000000 0.1111111
## CA 0.31591173 0.38571429 0.4598309 0.5142857
## WY 0.03100394 0.03418291 0.0000000 0.2284848
## Contig_707460_13 Contig_708960_70 Contig_708991_104 Contig_710297_103
## ORN 0.32500000 0.1666667 0.43956044 0.5250000
## ID 0.09090909 0.1111111 0.00000000 0.2467532
## ORS 0.42483660 0.3250000 0.50326797 0.4000000
## CA 0.00000000 0.4126984 0.46666667 0.0000000
## WY 0.15394402 0.1377862 0.03477721 0.0000000
## Contig_710455_80 Contig_710726_64 Contig_711475_42 Contig_711664_25
## ORN 0.0000000 0.0000000 0.40000000 0.5274725
## ID 0.1731602 0.2091503 0.11111111 0.5194805
## ORS 0.0000000 0.2000000 0.26373626 0.4705882
## CA 0.2061311 0.4907539 0.49230769 0.4907539
## WY 0.1642913 0.1354067 0.09284028 0.5019645
## Contig_711771_42 Contig_712441_106 Contig_712991_12 Contig_713198_23
## ORN 0.0000000 0.12500000 0.4945055 0.4583333
## ID 0.1894737 0.45454545 0.3368421 0.3116883
## ORS 0.1111111 0.23333333 0.2941176 0.1428571
## CA 0.2139037 0.08879493 0.5007112 0.3594080
## WY 0.1919794 0.42229467 0.4351819 0.1762392
## Contig_714694_26 Contig_715017_46 Contig_716075_61 Contig_716128_54
## ORN 0.53333333 0.5384615 0.00000000 0.4583333
## ID 0.09090909 0.0000000 0.31168831 0.3116883
## ORS 0.32500000 0.5000000 0.11111111 0.4248366
## CA 0.49655172 0.1934566 0.05263158 0.2731152
## WY 0.22461658 0.1040867 0.16542474 0.3410795
## Contig_716208_116 Contig_716382_23 Contig_717195_120 Contig_717326_58
## ORN 0.1250000 0.0000000 0.4945055 0.0000000
## ID 0.2467532 0.0000000 0.0000000 0.3679654
## ORS 0.4583333 0.2941176 0.4090909 0.0000000
## CA 0.0974359 0.1358885 0.3368984 0.0000000
## WY 0.2798982 0.1741830 0.0000000 0.1665510
## Contig_718137_64 Contig_718819_61 Contig_718922_33 Contig_719175_15
## ORN 0.5250000 0.0000000 0.5274725 0.30303030
## ID 0.3679654 0.5210526 0.3679654 0.00000000
## ORS 0.5000000 0.2941176 0.4248366 0.52287582
## CA 0.5115385 0.2731152 0.2961538 0.30443975
## WY 0.4443703 0.3206349 0.3740012 0.08496732
## Contig_719429_72 Contig_719665_41 Contig_720099_73 Contig_720166_70
## ORN 0.5000000 0.00000000 0.1428571 0.1428571
## ID 0.5064935 0.09090909 0.1000000 0.1000000
## ORS 0.5032680 0.23333333 0.0000000 0.2941176
## CA 0.3846154 0.00000000 0.0000000 0.1079365
## WY 0.4952381 0.13402062 0.1568733 0.2970350
## Contig_720767_108 Contig_720805_108 Contig_721274_4 Contig_722514_79
## ORN 0.40909091 0.1428571 0.1250000 0.1250000
## ID 0.52287582 0.0000000 0.0000000 0.1731602
## ORS 0.48484848 0.5000000 0.3660131 0.4000000
## CA 0.04545455 0.0000000 0.2994652 0.1765389
## WY 0.48123560 0.1161372 0.0000000 0.2671326
## Contig_723156_118 Contig_723620_41 Contig_724315_131 Contig_725244_51
## ORN 0.5714286 0.1428571 0.0000000 0.3555556
## ID 0.4945055 0.4155844 0.1894737 0.2467532
## ORS 0.2000000 0.1250000 0.0000000 0.2091503
## CA 0.0000000 0.1493599 0.0000000 0.3960511
## WY 0.4704957 0.2607562 0.1786061 0.3406082
## Contig_726187_88 Contig_726218_103 Contig_726296_17 Contig_726326_79
## ORN 0.0000000 0.00000000 0.3626374 0.00000000
## ID 0.1731602 0.09090909 0.3679654 0.36796537
## ORS 0.0000000 0.12500000 0.2333333 0.00000000
## CA 0.0000000 0.30443975 0.4936121 0.17653891
## WY 0.1696089 0.09568345 0.1820225 0.07453787
## Contig_726520_130 Contig_727135_67 Contig_727547_88 Contig_727549_7
## ORN 0.4395604 0.1250000 0.00000000 0.5274725
## ID 0.1894737 0.0000000 0.09090909 0.1731602
## ORS 0.3626374 0.2091503 0.45833333 0.5303030
## CA 0.2584670 0.4703833 0.10241821 0.3145161
## WY 0.1696089 0.0000000 0.10978342 0.1596341
## Contig_729269_103 Contig_729434_30 Contig_730496_8 Contig_730629_52
## ORN 0.43956044 0.5384615 0.26373626 0.1250000
## ID 0.09090909 0.5238095 0.52105263 0.0000000
## ORS 0.23333333 0.5384615 0.12500000 0.2941176
## CA 0.00000000 0.5080214 0.09291521 0.4705882
## WY 0.17050558 0.4985822 0.49252572 0.0200000
## Contig_731469_14 Contig_732424_20 Contig_733605_78 Contig_733823_84
## ORN 0.0000000 0.5384615 0.14285714 0.0000000
## ID 0.0000000 0.5238095 0.00000000 0.2467532
## ORS 0.0000000 0.4583333 0.53333333 0.0000000
## CA 0.3888889 0.4705882 0.00000000 0.0000000
## WY 0.0000000 0.4779686 0.04997827 0.1839321
## Contig_734814_28 Contig_735083_110 Contig_736489_109 Contig_736500_39
## ORN 0.1428571 0.00000000 0.23333333 0.1428571
## ID 0.0000000 0.09090909 0.24675325 0.4789474
## ORS 0.0000000 0.00000000 0.00000000 0.2637363
## CA 0.2460317 0.00000000 0.08879493 0.3716609
## WY 0.0746826 0.13360740 0.27638531 0.4974936
## Contig_737060_12 Contig_737187_9 Contig_737248_16 Contig_737803_104
## ORN 0.5454545 0.0000000 0.5333333 0.0000000
## ID 0.5032680 0.2467532 0.4848485 0.0000000
## ORS 0.5000000 0.0000000 0.5032680 0.4583333
## CA 0.0974359 0.0000000 0.4807692 0.5128205
## WY 0.5006519 0.2437319 0.4939116 0.0000000
## Contig_738188_76 Contig_739414_20 Contig_740026_52 Contig_740034_29
## ORN 0.3626374 0.00000000 0.4395604 0.4583333
## ID 0.4848485 0.17316017 0.5238095 0.5064935
## ORS 0.5274725 0.00000000 0.2941176 0.2941176
## CA 0.4746032 0.04761905 0.4598309 0.5115385
## WY 0.4788859 0.26160504 0.5035405 0.4937143
## Contig_740289_48 Contig_740769_33 Contig_741082_81 Contig_741178_43
## ORN 0.43956044 0.3030303 0.5274725 0.23333333
## ID 0.09090909 0.1731602 0.5194805 0.09090909
## ORS 0.53333333 0.5274725 0.5250000 0.12500000
## CA 0.42247511 0.5012821 0.1024182 0.05882353
## WY 0.25475943 0.2026954 0.4328841 0.17125984
## Contig_741428_85 Contig_741624_29 Contig_742301_29 Contig_742838_25
## ORN 0.5250000 0.4000000 0.5384615 0.4395604
## ID 0.4848485 0.5210526 0.5238095 0.2467532
## ORS 0.5000000 0.5250000 0.5333333 0.2941176
## CA 0.4936121 0.5007112 0.5135135 0.1934566
## WY 0.4870824 0.4706147 0.5032323 0.1624927
## Contig_743302_8 Contig_743502_17 Contig_744360_65 Contig_744589_48
## ORN 0.3626374 0.4395604 0.1428571 0.1428571
## ID 0.1111111 0.4545455 0.3368421 0.2684211
## ORS 0.0000000 0.5000000 0.1428571 0.4090909
## CA 0.0000000 0.3712660 0.5149425 0.1024182
## WY 0.2715152 0.2628827 0.2452830 0.2598134
## Contig_745489_39 Contig_745582_44 Contig_747076_84 Contig_747146_25
## ORN 0.40000000 0.0000000 0.5250000 0.4848485
## ID 0.36796537 0.0000000 0.3947368 0.4155844
## ORS 0.29411765 0.1250000 0.5333333 0.5250000
## CA 0.13588850 0.3576923 0.5116279 0.1765389
## WY 0.07344437 0.0000000 0.3850763 0.3381656
## Contig_747701_53 Contig_748432_45 Contig_748834_83 Contig_749203_132
## ORN 0.35555556 0.43956044 0.2637363 0.2333333
## ID 0.36796537 0.24675325 0.3368421 0.3116883
## ORS 0.26373626 0.12500000 0.3250000 0.0000000
## CA 0.04761905 0.04761905 0.0000000 0.0000000
## WY 0.38971429 0.20969308 0.4533333 0.1725067
## Contig_749772_45 Contig_750500_68 Contig_750634_58 Contig_751004_12
## ORN 0.5357143 0.2637363 0.5714286 0.0000000
## ID 0.2467532 0.4545455 0.4545455 0.0000000
## ORS 0.5274725 0.0000000 0.5333333 0.1111111
## CA 0.3222222 0.0000000 0.5120910 0.5079365
## WY 0.3650587 0.3508939 0.4022520 0.0000000
## Contig_752336_116 Contig_753654_10 Contig_753838_78 Contig_753963_113
## ORN 0.3250000 0.26373626 0.45833333 0.3626374
## ID 0.3116883 0.00000000 0.31168831 0.4545455
## ORS 0.3660131 0.00000000 0.23333333 0.1111111
## CA 0.0000000 0.04761905 0.05555556 0.0000000
## WY 0.2527233 0.13611343 0.27151515 0.4834532
## Contig_755386_65 Contig_755606_83 Contig_756663_78 Contig_756950_126
## ORN 0.0000000 0.1250000 0.0000000 0.0000000
## ID 0.3679654 0.2467532 0.4848485 0.3679654
## ORS 0.0000000 0.4705882 0.0000000 0.0000000
## CA 0.5000000 0.2410148 0.0000000 0.0000000
## WY 0.2208738 0.1902907 0.4022520 0.4930710
## Contig_757127_68 Contig_757297_4 Contig_757387_31 Contig_757592_46
## ORN 0.1250000 0.5384615 0.0000000 0.00000000
## ID 0.4155844 0.5194805 0.3679654 0.17316017
## ORS 0.3250000 0.5250000 0.0000000 0.00000000
## CA 0.3716609 0.5105708 0.0000000 0.08333333
## WY 0.4424370 0.5019685 0.1262485 0.25232384
## Contig_757612_69 Contig_758203_10 Contig_758951_65 Contig_759296_103
## ORN 0.43956044 0.0000000 0.00000000 0.4000000
## ID 0.00000000 0.0000000 0.09090909 0.0000000
## ORS 0.14285714 0.4583333 0.00000000 0.2941176
## CA 0.24101480 0.3044397 0.00000000 0.5078236
## WY 0.02040816 0.0000000 0.19305019 0.1596341
## Contig_760139_19 Contig_760247_14 Contig_760462_89 Contig_762894_68
## ORN 0.36263736 0.49450549 0.5274725 0.5454545
## ID 0.17316017 0.09090909 0.3116883 0.3679654
## ORS 0.00000000 0.47058824 0.3250000 0.5250000
## CA 0.10793651 0.33689840 0.4500000 0.4907539
## WY 0.08461419 0.01724138 0.1816514 0.4106447
## Contig_763041_63 Contig_763307_45 Contig_763912_40 Contig_763973_14
## ORN 0.0000000 0.0000000 0.3626374 0.0000000
## ID 0.0000000 0.1731602 0.5210526 0.2684211
## ORS 0.0000000 0.0000000 0.5032680 0.0000000
## CA 0.4224751 0.0000000 0.1423077 0.0974359
## WY 0.0000000 0.2890217 0.3577818 0.2452026
## Contig_764096_37 Contig_765148_23 Contig_765599_59 Contig_766096_58
## ORN 0.0000000 0.23333333 0.5333333 0.5333333
## ID 0.2467532 0.31168831 0.5052632 0.3660131
## ORS 0.5228758 0.32500000 0.2637363 0.4848485
## CA 0.4307692 0.05555556 0.3449477 0.4552846
## WY 0.2547982 0.30789474 0.4563803 0.3847893
## Contig_766802_107 Contig_766939_76 Contig_767713_35 Contig_768501_20
## ORN 0.00000000 0.5250000 0.4945055 0.12500000
## ID 0.09090909 0.5238095 0.3116883 0.50526316
## ORS 0.00000000 0.5333333 0.4583333 0.23333333
## CA 0.29615385 0.5121951 0.4746032 0.05263158
## WY 0.15892054 0.5027759 0.2109228 0.24685714
## Contig_768960_51 Contig_769180_24 Contig_769395_82 Contig_770615_78
## ORN 0.5274725 0.3030303 0.5274725 0.5384615
## ID 0.4789474 0.0000000 0.4545455 0.5238095
## ORS 0.5274725 0.0000000 0.1250000 0.5294118
## CA 0.4089744 0.1571429 0.5007112 0.5078236
## WY 0.4875996 0.1846660 0.4321212 0.4898219
## Contig_771494_94 Contig_771574_43 Contig_771699_24 Contig_772021_59
## ORN 0.4848485 0.00000000 0.0000000 0.4583333
## ID 0.0000000 0.00000000 0.1731602 0.4545455
## ORS 0.5000000 0.43956044 0.1250000 0.5228758
## CA 0.5120910 0.40897436 0.0000000 0.2460317
## WY 0.0000000 0.01492537 0.3093916 0.3442869
## Contig_772059_10 Contig_772080_84 Contig_772087_89 Contig_774389_22
## ORN 0.5333333 0.5333333 0.00000000 0.2637363
## ID 0.5238095 0.5064935 0.26842105 0.3368421
## ORS 0.5333333 0.5032680 0.36601307 0.3626374
## CA 0.5128205 0.4936121 0.51411290 0.1140820
## WY 0.5034449 0.5032680 0.05260618 0.1816514
## Contig_774682_46 Contig_775595_75 Contig_776112_49 Contig_776211_51
## ORN 0.00000000 0.50000000 0.3626374 0.1666667
## ID 0.50649351 0.00000000 0.4848485 0.3679654
## ORS 0.00000000 0.23333333 0.4945055 0.4583333
## CA 0.09291521 0.48663102 0.3576923 0.2961538
## WY 0.45174391 0.03959596 0.1961635 0.4622807
## Contig_776230_90 Contig_776838_4 Contig_777027_69 Contig_777838_46
## ORN 0.2637363 0.0000000 0.4945055 0.0000000
## ID 0.3116883 0.0000000 0.5052632 0.2941176
## ORS 0.0000000 0.5032680 0.2091503 0.3626374
## CA 0.0000000 0.4509804 0.0000000 0.0500000
## WY 0.2807018 0.0000000 0.4427166 0.1839321
## Contig_777916_73 Contig_779579_88 Contig_780145_95 Contig_781104_84
## ORN 0.5274725 0.3626374 0.4945055 0.0000000
## ID 0.1731602 0.0000000 0.4545455 0.2941176
## ORS 0.5250000 0.2941176 0.4848485 0.0000000
## CA 0.3086771 0.0000000 0.4779516 0.0000000
## WY 0.0746826 0.2547594 0.5029985 0.2846361
## Contig_781168_12 Contig_781178_47 Contig_781198_16 Contig_781251_31
## ORN 0.43956044 0.00000000 0.5454545 0.3250000
## ID 0.17316017 0.10000000 0.4848485 0.4545455
## ORS 0.00000000 0.53030303 0.5333333 0.3250000
## CA 0.05555556 0.04761905 0.1423077 0.4936121
## WY 0.17623918 0.24873244 0.3824424 0.3702614
## Contig_781293_18 Contig_781514_17 Contig_781630_19 Contig_781885_58
## ORN 0.49450549 0.0000000 0.00000000 0.0000000
## ID 0.09090909 0.0000000 0.00000000 0.0000000
## ORS 0.26373626 0.5454545 0.52287582 0.5333333
## CA 0.42780749 0.4181185 0.48663102 0.1300211
## WY 0.19003260 0.0000000 0.09734898 0.0000000
## Contig_781932_28 Contig_782215_46 Contig_783061_11 Contig_783345_45
## ORN 0.5333333 0.0000000 0.1428571 0.2637363
## ID 0.3679654 0.0000000 0.0000000 0.4421053
## ORS 0.3250000 0.4090909 0.1428571 0.5000000
## CA 0.0500000 0.5080214 0.0000000 0.3413940
## WY 0.4074803 0.0000000 0.1198730 0.2271364
## Contig_783526_96 Contig_783543_32 Contig_783890_12 Contig_784143_35
## ORN 0.4945055 0.5000000 0.4285714 0.1250000
## ID 0.4155844 0.0000000 0.5052632 0.1000000
## ORS 0.4000000 0.2333333 0.5250000 0.2333333
## CA 0.4703833 0.4552846 0.4439746 0.2031746
## WY 0.2657480 0.0000000 0.4336214 0.1223607
## Contig_784573_23 Contig_785903_87 Contig_786393_74 Contig_786506_76
## ORN 0.5000000 0.3555556 0.32500000 0.00000000
## ID 0.4155844 0.4155844 0.09090909 0.09090909
## ORS 0.4583333 0.4000000 0.29411765 0.00000000
## CA 0.1934566 0.2845528 0.00000000 0.00000000
## WY 0.4095238 0.4012589 0.11628629 0.17590436
## Contig_786785_41 Contig_787549_89 Contig_788623_124 Contig_790500_119
## ORN 0.5250000 0.32500000 0.1250000 0.00000000
## ID 0.1894737 0.00000000 0.3116883 0.09090909
## ORS 0.4248366 0.52500000 0.2941176 0.45833333
## CA 0.3555556 0.28455285 0.3282051 0.14230769
## WY 0.3821975 0.01851852 0.2897118 0.04346405
## Contig_790661_7 Contig_790941_21 Contig_792500_14 Contig_792516_83
## ORN 0.5333333 0.3250000 0.2333333 0.2333333
## ID 0.5238095 0.4421053 0.5052632 0.0000000
## ORS 0.5294118 0.2941176 0.5032680 0.1111111
## CA 0.5116279 0.5017422 0.5078236 0.3159117
## WY 0.5010050 0.4730773 0.4559211 0.0707256
## Contig_792735_10 Contig_793112_39 Contig_793143_99 Contig_793185_47
## ORN 0.0000000 0.1250000 0.4090909 0.2000000
## ID 0.1731602 0.3116883 0.0000000 0.1894737
## ORS 0.0000000 0.5250000 0.3030303 0.4285714
## CA 0.0000000 0.3555556 0.5078236 0.0000000
## WY 0.1589205 0.2026954 0.0000000 0.2146657
## Contig_793442_36 Contig_793963_7 Contig_794388_68 Contig_794735_12
## ORN 0.4000000 0.1250000 0.0000000 0.26373626
## ID 0.1731602 0.4155844 0.5194805 0.00000000
## ORS 0.0000000 0.3626374 0.3660131 0.52500000
## CA 0.0000000 0.2243590 0.1079365 0.49910873
## WY 0.1564537 0.4321379 0.5018671 0.01960784
## Contig_795293_76 Contig_795537_7 Contig_796066_119 Contig_796098_106
## ORN 0.3250000 0.00000000 0.48484848 0.1250000
## ID 0.5194805 0.20915033 0.09090909 0.4545455
## ORS 0.4583333 0.46666667 0.45833333 0.1111111
## CA 0.3555556 0.51515152 0.47795164 0.5133690
## WY 0.4238532 0.04915966 0.20134652 0.2533489
## Contig_796832_15 Contig_796966_13 Contig_797105_32 Contig_797204_27
## ORN 0.00000000 0.5357143 0.1666667 0.5555556
## ID 0.09090909 0.1000000 0.5032680 0.3660131
## ORS 0.00000000 0.1250000 0.3626374 0.5303030
## CA 0.00000000 0.1493599 0.2845528 0.3716609
## WY 0.22512011 0.3226891 0.5017883 0.1679272
## Contig_798499_33 Contig_799345_15 Contig_799516_30 Contig_800036_52
## ORN 0.2333333 0.4395604 0.40909091 0.0000000
## ID 0.1000000 0.2467532 0.09090909 0.0000000
## ORS 0.3626374 0.1666667 0.50000000 0.0000000
## CA 0.5142857 0.1079365 0.00000000 0.4438122
## WY 0.0000000 0.2174502 0.03669090 0.0000000
## Contig_800941_66 Contig_801281_66 Contig_801817_24 Contig_804860_104
## ORN 0.4395604 0.0000000 0.0000000 0.0000000
## ID 0.4155844 0.0000000 0.3116883 0.0000000
## ORS 0.1428571 0.5384615 0.0000000 0.1111111
## CA 0.2994652 0.4421053 0.0000000 0.4623044
## WY 0.4166667 0.0291939 0.3588279 0.0000000
## Contig_805062_93 Contig_805111_92 Contig_805388_40 Contig_805623_75
## ORN 0.23333333 0.0000000 0.5384615 0.3250000
## ID 0.36796537 0.0000000 0.4848485 0.1731602
## ORS 0.26373626 0.0000000 0.5274725 0.2333333
## CA 0.05882353 0.4224751 0.5120910 0.0000000
## WY 0.30339893 0.0000000 0.2718778 0.2727511
## Contig_806526_8 Contig_806586_54 Contig_806750_19 Contig_806841_66
## ORN 0.1428571 0.4945055 0.0000000 0.5250000
## ID 0.3116883 0.5238095 0.1894737 0.2684211
## ORS 0.4583333 0.3626374 0.4945055 0.1428571
## CA 0.4438122 0.3555556 0.3413940 0.0000000
## WY 0.2207207 0.4670559 0.0000000 0.3019608
## Contig_806876_14 Contig_807098_17 Contig_808058_62 Contig_809800_7
## ORN 0.5333333 0.000000 0.3250000 0.0000000
## ID 0.5238095 0.000000 0.3116883 0.3116883
## ORS 0.5294118 0.000000 0.4705882 0.0000000
## CA 0.5110337 0.450000 0.4888889 0.0000000
## WY 0.5034965 0.015625 0.5043860 0.2807018
## Contig_810203_65 Contig_810258_5 Contig_811033_108 Contig_811140_64
## ORN 0.26373626 0.5250000 0.0000000 0.3626374
## ID 0.09090909 0.4155844 0.1894737 0.2467532
## ORS 0.50000000 0.4705882 0.0000000 0.0000000
## CA 0.50782361 0.2845528 0.0000000 0.0000000
## WY 0.12026689 0.2590793 0.1624927 0.3689858
## Contig_811444_35 Contig_811489_12 Contig_811498_104 Contig_812421_29
## ORN 0.0000000 0.0000000 0.5357143 0.0000000
## ID 0.2467532 0.2467532 0.1111111 0.0000000
## ORS 0.0000000 0.5250000 0.0000000 0.5228758
## CA 0.0000000 0.4907539 0.1846154 0.4010695
## WY 0.1871064 0.1605351 0.1517410 0.0000000
## Contig_812563_10 Contig_812701_124 Contig_813457_93 Contig_814269_59
## ORN 0.32500000 0.3626374 0.0000000 0.12500000
## ID 0.09090909 0.0000000 0.0000000 0.09090909
## ORS 0.50326797 0.4395604 0.3626374 0.45833333
## CA 0.50211416 0.2615385 0.1079365 0.00000000
## WY 0.05835484 0.0366909 0.1223607 0.11473514
## Contig_814672_37 Contig_815785_61 Contig_816274_20 Contig_816585_79
## ORN 0.5274725 0.2333333 0.1428571 0.2637363
## ID 0.5064935 0.4421053 0.2684211 0.0000000
## ORS 0.4395604 0.2941176 0.4705882 0.4000000
## CA 0.5135135 0.5128205 0.4666667 0.4089744
## WY 0.4921212 0.4758801 0.2575758 0.1851462
## Contig_817250_19 Contig_818034_128 Contig_818878_88 Contig_819115_112
## ORN 0.48484848 0.5333333 0.1250000 0.1428571
## ID 0.09090909 0.4789474 0.2467532 0.2467532
## ORS 0.20915033 0.5303030 0.1111111 0.2091503
## CA 0.40897436 0.4888889 0.1846154 0.0000000
## WY 0.04836743 0.4209069 0.2421569 0.2207207
## Contig_819844_55 Contig_821486_21 Contig_821534_58 Contig_821581_86
## ORN 0.2637363 0.12500000 0.4583333 0.0000000
## ID 0.2467532 0.09090909 0.1731602 0.1894737
## ORS 0.1250000 0.42483660 0.5032680 0.5000000
## CA 0.2061311 0.50782361 0.3413940 0.4923077
## WY 0.2729875 0.25586354 0.1679272 0.2324847
## Contig_822850_36 Contig_823920_17 Contig_825691_16 Contig_825743_39
## ORN 0.4395604 0.2637363 0.5250000 0.00000000
## ID 0.3679654 0.0000000 0.3116883 0.09090909
## ORS 0.5274725 0.2941176 0.2941176 0.00000000
## CA 0.2961538 0.5141129 0.4181185 0.16913319
## WY 0.2619398 0.0000000 0.3539209 0.20074963
## Contig_826139_22 Contig_829020_58 Contig_829029_78 Contig_829684_46
## ORN 0.5274725 0.0000000 0.30303030 0.0000000
## ID 0.4848485 0.3116883 0.20915033 0.3679654
## ORS 0.3250000 0.0000000 0.36263736 0.2000000
## CA 0.2721774 0.0974359 0.41269841 0.3576923
## WY 0.3434304 0.1459911 0.09005906 0.1640927
## Contig_829970_112 Contig_830139_67 Contig_830220_10 Contig_830408_13
## ORN 0.4583333 0.4945055 0.53846154 0.0000000
## ID 0.5194805 0.2467532 0.09090909 0.3679654
## ORS 0.4583333 0.2941176 0.47058824 0.0000000
## CA 0.4923077 0.4500000 0.28455285 0.0000000
## WY 0.4321212 0.4123711 0.22849889 0.1078167
## Contig_830591_106 Contig_831076_93 Contig_831216_13 Contig_832761_63
## ORN 0.1428571 0.5384615 0.5333333 0.0000000
## ID 0.5064935 0.1731602 0.5194805 0.2467532
## ORS 0.4583333 0.5000000 0.5250000 0.0000000
## CA 0.4746032 0.5135135 0.4936121 0.0000000
## WY 0.5018182 0.1846660 0.4545455 0.3147128
## Contig_833084_46 Contig_833615_35 Contig_834019_11 Contig_834166_48
## ORN 0.00000000 0.5274725 0.2637363 0.3030303
## ID 0.33684211 0.5194805 0.1731602 0.4848485
## ORS 0.00000000 0.5250000 0.4945055 0.0000000
## CA 0.04545455 0.5021142 0.5073996 0.0000000
## WY 0.28971176 0.5019662 0.3205882 0.3938565
## Contig_834551_42 Contig_835202_47 Contig_835813_25 Contig_835826_20
## ORN 0.36263736 0.12500000 0.00000000 0.5274725
## ID 0.00000000 0.00000000 0.17316017 0.5194805
## ORS 0.47058824 0.23333333 0.00000000 0.5333333
## CA 0.05263158 0.51269841 0.46666667 0.4866310
## WY 0.01785714 0.01923077 0.01470588 0.5018182
## Contig_836115_115 Contig_836457_87 Contig_836795_25 Contig_836801_7
## ORN 0.0000000 0.3250000 0.5333333 0.0000000
## ID 0.0000000 0.3116883 0.3116883 0.3368421
## ORS 0.1111111 0.5228758 0.5303030 0.1250000
## CA 0.3960511 0.4807692 0.3329810 0.4059197
## WY 0.0000000 0.4095238 0.2668037 0.3779528
## Contig_836844_33 Contig_836947_100 Contig_837141_108 Contig_838155_92
## ORN 0.0000000 0.4090909 0.53846154 0.0000000
## ID 0.0000000 0.1111111 0.36796537 0.1731602
## ORS 0.2637363 0.5303030 0.00000000 0.1111111
## CA 0.3145161 0.3044397 0.34139403 0.0000000
## WY 0.0000000 0.2362795 0.08070175 0.3320755
## Contig_838344_96 Contig_838515_79 Contig_838587_47 Contig_839206_92
## ORN 0.2333333 0.14285714 0.00000000 0.2637363
## ID 0.0000000 0.33684211 0.45454545 0.4545455
## ORS 0.4248366 0.45833333 0.00000000 0.0000000
## CA 0.2347084 0.50128205 0.04545455 0.3707665
## WY 0.0000000 0.09142857 0.43682540 0.4443615
## Contig_839899_74 Contig_840378_55 Contig_841201_17 Contig_841415_44
## ORN 0.4090909 0.0000000 0.1250000 0.5333333
## ID 0.1731602 0.0000000 0.4155844 0.1731602
## ORS 0.2333333 0.0000000 0.1250000 0.3660131
## CA 0.1024182 0.0000000 0.2410148 0.2243590
## WY 0.1543860 0.4073902 0.4035778 0.1235605
## Contig_841789_101 Contig_842020_60 Contig_842610_36 Contig_843528_23
## ORN 0.4395604 0.49450549 0.5357143 0.4583333
## ID 0.3116883 0.11111111 0.4583333 0.3116883
## ORS 0.2000000 0.40000000 0.5303030 0.4583333
## CA 0.0500000 0.49910873 0.4979839 0.3576923
## WY 0.2836349 0.01666667 0.2205882 0.1361134
## Contig_843754_7 Contig_843904_85 Contig_844087_48 Contig_845207_23
## ORN 0.00000000 0.0000000 0.0000000 0.5454545
## ID 0.31168831 0.0000000 0.3947368 0.5194805
## ORS 0.12500000 0.5228758 0.2333333 0.4583333
## CA 0.05263158 0.4378630 0.2615385 0.4735729
## WY 0.18181818 0.0000000 0.1458376 0.4973389
## Contig_846149_113 Contig_846351_126 Contig_847004_21 Contig_847348_50
## ORN 0.3030303 0.4583333 0.5303030 0.0000000
## ID 0.3116883 0.4545455 0.1731602 0.2467532
## ORS 0.3626374 0.3250000 0.5032680 0.5000000
## CA 0.1024182 0.4666667 0.4278075 0.5000000
## WY 0.2070463 0.5004170 0.2376981 0.1865397
## Contig_847544_123 Contig_848852_86 Contig_850492_25 Contig_850646_44
## ORN 0.3626374 0.2333333 0.2637363 0.23333333
## ID 0.3116883 0.4155844 0.1894737 0.09090909
## ORS 0.4666667 0.5228758 0.1428571 0.52747253
## CA 0.4888889 0.5126984 0.1934566 0.42247511
## WY 0.2935352 0.3517778 0.2208738 0.04039554
## Contig_851128_31 Contig_851180_91 Contig_852298_90 Contig_852813_57
## ORN 0.0000000 0.0000000 0.0000000 0.5000000
## ID 0.2467532 0.1894737 0.3679654 0.5238095
## ORS 0.3626374 0.3626374 0.0000000 0.4583333
## CA 0.0000000 0.1300211 0.0000000 0.4224751
## WY 0.3591208 0.1665510 0.1930502 0.4813385
## Contig_853949_28 Contig_854390_41 Contig_854745_26 Contig_855749_17
## ORN 0.3250000 0.48484848 0.0000000 0.4583333
## ID 0.3679654 0.24675325 0.5210526 0.4421053
## ORS 0.3250000 0.00000000 0.0000000 0.4000000
## CA 0.1423077 0.05263158 0.0000000 0.4779516
## WY 0.3705322 0.15406162 0.4494445 0.4588235
## Contig_856085_64 Contig_856616_11 Contig_856631_37 Contig_856655_89
## ORN 0.1250000 0.3250000 0.32500000 0.2000000
## ID 0.2467532 0.1731602 0.09090909 0.2684211
## ORS 0.2091503 0.0000000 0.26373626 0.0000000
## CA 0.0000000 0.2994652 0.14935989 0.0000000
## WY 0.2547982 0.0000000 0.15687332 0.3068182
## Contig_856691_89 Contig_858758_68 Contig_859095_69 Contig_859705_58
## ORN 0.0000000 0.5000000 0.36263736 0.3250000
## ID 0.0000000 0.3116883 0.24675325 0.4155844
## ORS 0.0000000 0.3660131 0.00000000 0.2091503
## CA 0.0000000 0.1934566 0.09291521 0.5012821
## WY 0.1705056 0.3559322 0.20704633 0.4819040
## Contig_860949_123 Contig_861139_23 Contig_861561_65 Contig_861930_72
## ORN 0.4945055 0.5333333 0.4666667 0.1428571
## ID 0.4848485 0.1731602 0.4155844 0.3116883
## ORS 0.4705882 0.2333333 0.3660131 0.0000000
## CA 0.2961538 0.0000000 0.2061311 0.0000000
## WY 0.4984661 0.2251201 0.3208333 0.1223607
## Contig_862320_17 Contig_864219_131 Contig_864559_103 Contig_864929_23
## ORN 0.25000000 0.52747253 0.12500000 0.1250000
## ID 0.09090909 0.18947368 0.00000000 0.0000000
## ORS 0.23333333 0.23333333 0.43956044 0.1250000
## CA 0.50804598 0.49910873 0.28455285 0.0500000
## WY 0.03360858 0.03959596 0.01612903 0.2039054
## Contig_864970_79 Contig_865061_24 Contig_865181_83 Contig_865851_110
## ORN 0.0000000 0.2333333 0.5357143 0.5303030
## ID 0.0000000 0.1000000 0.4421053 0.4848485
## ORS 0.2941176 0.0000000 0.0000000 0.3250000
## CA 0.4866310 0.0000000 0.2243590 0.3413940
## WY 0.0000000 0.2878561 0.1786061 0.4879066
## Contig_866981_15 Contig_866984_123 Contig_867144_43 Contig_867609_13
## ORN 0.40000000 0.5250000 0.4395604 0.5384615
## ID 0.36796537 0.4789474 0.2467532 0.5194805
## ORS 0.40000000 0.4945055 0.2333333 0.5228758
## CA 0.05263158 0.3594080 0.0000000 0.4598309
## WY 0.41448842 0.5031447 0.1202669 0.4478372
## Contig_867888_38 Contig_869103_107 Contig_869200_57 Contig_869638_48
## ORN 0.00000000 0.26373626 0.0000000 0.16666667
## ID 0.09090909 0.00000000 0.2467532 0.18947368
## ORS 0.23333333 0.23333333 0.5032680 0.14285714
## CA 0.47795164 0.51336898 0.4923077 0.05263158
## WY 0.00000000 0.08606821 0.1921757 0.14339059
## Contig_870154_88 Contig_870597_18 Contig_871227_52 Contig_871504_115
## ORN 0.36263736 0.26373626 0.2637363 0.2000000
## ID 0.00000000 0.17316017 0.4545455 0.5228758
## ORS 0.00000000 0.23333333 0.1250000 0.2000000
## CA 0.04761905 0.04761905 0.0000000 0.1754032
## WY 0.14394166 0.32789729 0.1198730 0.4733453
## Contig_872840_122 Contig_873061_103 Contig_873520_81 Contig_873548_103
## ORN 0.0000000 0.0000000 0.2637363 0.4583333
## ID 0.0000000 0.0000000 0.4155844 0.3679654
## ORS 0.2091503 0.2333333 0.3660131 0.1111111
## CA 0.3159117 0.4779516 0.0974359 0.1358885
## WY 0.0000000 0.0000000 0.5002695 0.3032138
## Contig_873774_50 Contig_873796_35 Contig_874118_100 Contig_874750_116
## ORN 0.2637363 0.5250000 0.16666667 0.53846154
## ID 0.2467532 0.1000000 0.00000000 0.09090909
## ORS 0.2333333 0.2637363 0.50000000 0.32500000
## CA 0.0000000 0.1423077 0.51411290 0.33298097
## WY 0.1654545 0.3032138 0.01818182 0.20376176
## Contig_875291_113 Contig_875836_36 Contig_876500_48 Contig_876507_10
## ORN 0.0000000 0.00000000 0.3626374 0.4395604
## ID 0.0000000 0.09090909 0.1000000 0.3947368
## ORS 0.3660131 0.42483660 0.3250000 0.4000000
## CA 0.5000000 0.51336898 0.3594080 0.5007112
## WY 0.0000000 0.17250674 0.1839321 0.5032323
## Contig_876756_60 Contig_877005_101 Contig_877053_12 Contig_877248_101
## ORN 0.4000000 0.4583333 0.5250000 0.1428571
## ID 0.1000000 0.4421053 0.3368421 0.3116883
## ORS 0.2091503 0.5032680 0.5032680 0.5274725
## CA 0.1079365 0.4907539 0.4435484 0.3846154
## WY 0.2137418 0.4595560 0.2803738 0.2207207
## Contig_879933_98 Contig_880399_94 Contig_881940_49 Contig_883746_83
## ORN 0.53846154 0.4848485 0.0000000 0.0000000
## ID 0.52105263 0.4421053 0.4155844 0.1894737
## ORS 0.42483660 0.1111111 0.3250000 0.0000000
## CA 0.05263158 0.3982930 0.0500000 0.0000000
## WY 0.48563888 0.1443778 0.3817531 0.1688730
## Contig_883814_101 Contig_884126_19 Contig_884729_92 Contig_884885_70
## ORN 0.5274725 0.53846154 0.32500000 0.1428571
## ID 0.2467532 0.09090909 0.09090909 0.3116883
## ORS 0.4583333 0.40000000 0.00000000 0.3660131
## CA 0.1079365 0.07142857 0.00000000 0.2857143
## WY 0.1408805 0.08320840 0.12910115 0.2637198
## Contig_884947_53 Contig_885461_48 Contig_886366_41 Contig_886506_30
## ORN 0.0000000 0.000000 0.4583333 0.0000000
## ID 0.3679654 0.000000 0.1111111 0.1731602
## ORS 0.4248366 0.325000 0.1111111 0.0000000
## CA 0.1846154 0.000000 0.4707692 0.0000000
## WY 0.4748580 0.139916 0.2376981 0.2212644
## Contig_886958_23 Contig_888943_67 Contig_890409_104 Contig_891397_28
## ORN 0.2637363 0.1428571 0.3250000 0.0000000
## ID 0.5263158 0.4545455 0.1731602 0.3116883
## ORS 0.5250000 0.5294118 0.1111111 0.4583333
## CA 0.5012821 0.3846154 0.3712660 0.5142857
## WY 0.3965414 0.3650587 0.1223607 0.3301587
## Contig_891621_66 Contig_891751_130 Contig_892289_61 Contig_892771_86
## ORN 0.1666667 0.0000000 0.5357143 0.1428571
## ID 0.4155844 0.0000000 0.4545455 0.3679654
## ORS 0.0000000 0.4248366 0.2500000 0.4848485
## CA 0.0000000 0.3413940 0.3576923 0.0000000
## WY 0.1977778 0.0768254 0.4695418 0.2764518
## Contig_893335_17 Contig_895286_124 Contig_895325_91 Contig_895545_13
## ORN 0.00000000 0.26373626 0.3626374 0.3030303
## ID 0.09090909 0.00000000 0.4421053 0.5228758
## ORS 0.00000000 0.00000000 0.0000000 0.0000000
## CA 0.34139403 0.39829303 0.0000000 0.3555556
## WY 0.31175980 0.01851852 0.3570175 0.4694097
## Contig_895948_44 Contig_896286_58 Contig_896997_28 Contig_897331_20
## ORN 0.1428571 0.0000000 0.3333333 0.2637363
## ID 0.3679654 0.2467532 0.3116883 0.1731602
## ORS 0.1250000 0.3660131 0.3660131 0.2941176
## CA 0.0000000 0.0000000 0.0000000 0.0000000
## WY 0.4378649 0.2353016 0.2238157 0.1696089
## Contig_897775_130 Contig_898411_10 Contig_899620_33 Contig_899876_30
## ORN 0.52500000 0.5333333 0.4000000 0.00000000
## ID 0.00000000 0.5228758 0.5194805 0.00000000
## ORS 0.36601307 0.4945055 0.1428571 0.40000000
## CA 0.00000000 0.4597701 0.4746032 0.35940803
## WY 0.01449275 0.4137332 0.4830189 0.01428571
## Contig_900581_10 Contig_901101_126 Contig_902578_53 Contig_902965_31
## ORN 0.12500000 0.5303030 0.5250000 0.3250000
## ID 0.24675325 0.5238095 0.1000000 0.4155844
## ORS 0.00000000 0.5000000 0.5228758 0.3660131
## CA 0.22580645 0.1423077 0.4307692 0.3044397
## WY 0.05765871 0.5033173 0.1910710 0.2761389
## Contig_903678_101 Contig_903937_71 Contig_904114_98 Contig_904734_20
## ORN 0.50000000 0.40000000 0.1428571 0.4945055
## ID 0.09090909 0.17316017 0.4155844 0.5238095
## ORS 0.00000000 0.11111111 0.4705882 0.5333333
## CA 0.00000000 0.45983087 0.3282051 0.2460317
## WY 0.24183715 0.09700624 0.2918801 0.4961925
## Contig_905335_104 Contig_905596_96 Contig_905787_120 Contig_905952_33
## ORN 0.1428571 0.0000000 0.4945055 0.00000000
## ID 0.3679654 0.4421053 0.5064935 0.36796537
## ORS 0.2333333 0.0000000 0.5228758 0.00000000
## CA 0.5105708 0.0000000 0.5110337 0.04761905
## WY 0.4649776 0.1930502 0.5019183 0.16887299
## Contig_906299_24 Contig_906475_64 Contig_907203_13 Contig_907611_24
## ORN 0.1666667 0.1428571 0.0000000 0.12500000
## ID 0.4248366 0.1731602 0.2467532 0.09090909
## ORS 0.4945055 0.1250000 0.0000000 0.29411765
## CA 0.0000000 0.0000000 0.1657754 0.18461538
## WY 0.1654545 0.1885310 0.2277605 0.19481793
## Contig_907865_67 Contig_908636_19 Contig_909025_80 Contig_909182_44
## ORN 0.4000000 0.0000000 0.3030303 0.40909091
## ID 0.4155844 0.4789474 0.5064935 0.33684211
## ORS 0.3250000 0.1428571 0.4000000 0.32500000
## CA 0.5012821 0.1024182 0.1140820 0.04545455
## WY 0.3692085 0.4443703 0.4533333 0.03669090
## Contig_910269_45 Contig_910579_118 Contig_911104_13 Contig_911640_57
## ORN 0.0000000 0.23333333 0.0000000 0.0000000
## ID 0.4848485 0.00000000 0.0000000 0.3679654
## ORS 0.0000000 0.20915033 0.3626374 0.0000000
## CA 0.0000000 0.00000000 0.0000000 0.0000000
## WY 0.2452830 0.09783295 0.1354067 0.3093916
## Contig_911906_29 Contig_912117_62 Contig_912290_26 Contig_912614_11
## ORN 0.23333333 0.1428571 0.5384615 0.3333333
## ID 0.09090909 0.4155844 0.5263158 0.2637363
## ORS 0.00000000 0.0000000 0.5333333 0.5333333
## CA 0.31591173 0.0000000 0.5120910 0.3707665
## WY 0.07344437 0.3147128 0.5000000 0.3739331
## Contig_913038_54 Contig_913393_12 Contig_916914_79 Contig_916964_29
## ORN 0.26373626 0.4090909 0.4945055 0.14285714
## ID 0.09090909 0.4789474 0.4545455 0.09090909
## ORS 0.00000000 0.5228758 0.3660131 0.40909091
## CA 0.00000000 0.5110337 0.4991087 0.30867710
## WY 0.14088050 0.4276402 0.3109091 0.19777778
## Contig_917303_63 Contig_917448_106 Contig_917478_105 Contig_918655_45
## ORN 0.2500000 0.0000000 0.00000000 0.0000000
## ID 0.1894737 0.5052632 0.51948052 0.0000000
## ORS 0.4848485 0.0000000 0.11111111 0.0000000
## CA 0.3413940 0.0000000 0.04545455 0.5126984
## WY 0.2487324 0.4587601 0.45472441 0.0000000
## Contig_919199_89 Contig_919404_37 Contig_920313_49 Contig_921018_65
## ORN 0.2637363 0.3555556 0.00000000 0.00000000
## ID 0.1731602 0.4848485 0.31168831 0.10000000
## ORS 0.0000000 0.2091503 0.50000000 0.20915033
## CA 0.3086771 0.2737844 0.43786295 0.37166086
## WY 0.1393274 0.4221086 0.06196825 0.09415647
## Contig_921035_12 Contig_921292_58 Contig_921661_42 Contig_922391_58
## ORN 0.0000000 0.0000000 0.2637363 0.4395604
## ID 0.3116883 0.2333333 0.4155844 0.0000000
## ORS 0.0000000 0.1428571 0.4583333 0.4945055
## CA 0.0000000 0.2584670 0.5128205 0.2857143
## WY 0.1596341 0.2173576 0.2981818 0.0000000
## Contig_923224_4 Contig_923898_44 Contig_925484_106 Contig_926757_125
## ORN 0.53846154 0.0000000 0.1250000 0.3555556
## ID 0.09090909 0.3679654 0.3679654 0.3947368
## ORS 0.00000000 0.0000000 0.0000000 0.4945055
## CA 0.00000000 0.0000000 0.1691332 0.3712660
## WY 0.10060550 0.1118229 0.2418371 0.4169350
## Contig_926911_4 Contig_927155_132 Contig_928043_7 Contig_928370_67
## ORN 0.0000000 0.5274725 0.0000000 0.26373626
## ID 0.0000000 0.3679654 0.1000000 0.10000000
## ORS 0.2941176 0.5250000 0.0000000 0.52747253
## CA 0.3086771 0.3594080 0.1024182 0.51209104
## WY 0.0000000 0.3737138 0.1433906 0.07757576
## Contig_928392_5 Contig_928795_95 Contig_929163_60 Contig_929634_85
## ORN 0.4583333 0.5000000 0.3030303 0.26373626
## ID 0.5238095 0.1731602 0.1894737 0.41558442
## ORS 0.4583333 0.4248366 0.4395604 0.00000000
## CA 0.0000000 0.3712660 0.4010695 0.08879493
## WY 0.3351515 0.3268144 0.3136669 0.39835560
## Contig_930558_82 Contig_930778_124 Contig_932295_27 Contig_933376_56
## ORN 0.1666667 0.0000000 0.4945055 0.16666667
## ID 0.0000000 0.3368421 0.3116883 0.09090909
## ORS 0.1250000 0.3626374 0.5228758 0.53846154
## CA 0.4991087 0.2961538 0.5115385 0.51612903
## WY 0.0000000 0.1568733 0.4125457 0.07072560
## Contig_934460_14 Contig_937172_23 Contig_937374_63 Contig_937548_46
## ORN 0.1666667 0.0000000 0.14285714 0.0000000
## ID 0.4155844 0.5064935 0.24675325 0.4545455
## ORS 0.5228758 0.1111111 0.00000000 0.1250000
## CA 0.4888889 0.0000000 0.04545455 0.0000000
## WY 0.3994721 0.4398922 0.28011204 0.4881983
## Contig_939622_6 Contig_939862_69 Contig_940585_38 Contig_940637_59
## ORN 0.4945055 0.3626374 0.14285714 0.5454545
## ID 0.4545455 0.1731602 0.00000000 0.0000000
## ORS 0.2333333 0.4000000 0.11111111 0.4583333
## CA 0.0000000 0.5120910 0.31591173 0.5133690
## WY 0.4072727 0.1516264 0.02083333 0.0200000
## Contig_941746_16 Contig_941794_129 Contig_943528_113 Contig_943547_16
## ORN 0.4000000 0.00000000 0.2637363 0.53333333
## ID 0.5064935 0.36796537 0.4545455 0.00000000
## ORS 0.3030303 0.47058824 0.1111111 0.40000000
## CA 0.4224751 0.04545455 0.4307692 0.50128205
## WY 0.4595226 0.28393452 0.3736587 0.01851852
## Contig_943750_7 Contig_944040_104 Contig_944360_34 Contig_944727_85
## ORN 0.3626374 0.3626374 0.1666667 0.4000000
## ID 0.3368421 0.3679654 0.3368421 0.2467532
## ORS 0.2333333 0.2091503 0.0000000 0.2091503
## CA 0.0000000 0.3086771 0.3329810 0.2347084
## WY 0.2208738 0.2873594 0.2452026 0.1958911
## Contig_945622_62 Contig_946407_58 Contig_948294_27 Contig_949094_39
## ORN 0.4395604 0.0000000 0.5333333 0.40909091
## ID 0.1894737 0.2333333 0.5333333 0.24675325
## ORS 0.1111111 0.0000000 0.0000000 0.40000000
## CA 0.1754032 0.0500000 0.2731152 0.18461538
## WY 0.2935352 0.2616050 0.3532234 0.06716642
## Contig_949557_19 Contig_949610_82 Contig_950662_9 Contig_950815_17
## ORN 0.5250000 0.5274725 0.3555556 0.0000000
## ID 0.5263158 0.5194805 0.5303030 0.2467532
## ORS 0.5555556 0.2333333 0.4848485 0.3250000
## CA 0.5151515 0.1423077 0.4439746 0.1765389
## WY 0.5044248 0.4283489 0.5033105 0.4099379
## Contig_950842_109 Contig_950887_42 Contig_951533_103 Contig_951775_119
## ORN 0.4395604 0.1250000 0.14285714 0.0000000
## ID 0.2467532 0.1731602 0.00000000 0.1894737
## ORS 0.5032680 0.2091503 0.20915033 0.0000000
## CA 0.5135135 0.0000000 0.51612903 0.0000000
## WY 0.1640927 0.1596341 0.08757298 0.1614656
## Contig_952157_30 Contig_952632_51 Contig_952783_61 Contig_953748_54
## ORN 0.0000000 0.0000000 0.5333333 0.5000000
## ID 0.1731602 0.0000000 0.3368421 0.1894737
## ORS 0.1111111 0.5274725 0.5454545 0.5228758
## CA 0.3159117 0.1846154 0.5151515 0.2994652
## WY 0.1679272 0.0000000 0.1162863 0.2971211
## Contig_953857_17 Contig_953964_68 Contig_954373_36 Contig_954828_10
## ORN 0.4395604 0.1250000 0.3555556 0.00000000
## ID 0.0000000 0.1731602 0.1731602 0.00000000
## ORS 0.2941176 0.0000000 0.4705882 0.00000000
## CA 0.2845528 0.4126984 0.0000000 0.46666667
## WY 0.1163983 0.1910710 0.1705056 0.01724138
## Contig_955139_22 Contig_955192_80 Contig_955406_70 Contig_956410_63
## ORN 0.4945055 0.3626374 0.52747253 0.1428571
## ID 0.5064935 0.0000000 0.00000000 0.4421053
## ORS 0.1250000 0.0000000 0.23333333 0.3030303
## CA 0.1934566 0.1571429 0.39829303 0.1079365
## WY 0.4912281 0.1762392 0.03539254 0.2623733
## Contig_957090_3 Contig_957250_13 Contig_957309_47 Contig_958181_72
## ORN 0.35555556 0.0000000 0.5333333 0.4090909
## ID 0.09090909 0.0000000 0.5238095 0.5238095
## ORS 0.12500000 0.3030303 0.5294118 0.4000000
## CA 0.43650794 0.4224751 0.5121951 0.4779516
## WY 0.03477721 0.0000000 0.5009253 0.4905229
## Contig_958866_32 Contig_959416_44 Contig_960207_29 Contig_960523_12
## ORN 0.2000000 0.0000000 0.1428571 0.4395604
## ID 0.0000000 0.1731602 0.0000000 0.3368421
## ORS 0.0000000 0.4248366 0.4248366 0.2941176
## CA 0.0500000 0.4089744 0.4657258 0.2615385
## WY 0.2926618 0.1871064 0.0746826 0.3892665
## Contig_960872_64 Contig_960937_41 Contig_962169_32 Contig_962971_12
## ORN 0.49450549 0.4395604 0.5274725 0.5384615
## ID 0.09090909 0.1731602 0.5194805 0.5052632
## ORS 0.12500000 0.2637363 0.4705882 0.5294118
## CA 0.32222222 0.1934566 0.1423077 0.5000000
## WY 0.09783295 0.1090638 0.4948802 0.4709091
## Contig_963267_84 Contig_963311_90 Contig_963431_35 Contig_964446_46
## ORN 0.00000000 0.5250000 0.3626374 0.5333333
## ID 0.09090909 0.3947368 0.4421053 0.5238095
## ORS 0.11111111 0.4000000 0.1111111 0.5294118
## CA 0.00000000 0.4907539 0.1934566 0.5075494
## WY 0.14671635 0.3738115 0.4673016 0.4944483
## Contig_964840_31 Contig_965940_22 Contig_966134_52 Contig_966720_57
## ORN 0.0000000 0.00000000 0.1250000 0.4395604
## ID 0.2467532 0.36796537 0.0000000 0.4848485
## ORS 0.0000000 0.00000000 0.2941176 0.4248366
## CA 0.0000000 0.09291521 0.2243590 0.2460317
## WY 0.4336214 0.36469492 0.0296263 0.4749625
## Contig_968146_6 Contig_968346_54 Contig_968643_16 Contig_969275_87
## ORN 0.0000000 0.0000000 0.43956044 0.00000000
## ID 0.5238095 0.1731602 0.09090909 0.10000000
## ORS 0.1111111 0.2091503 0.32500000 0.54545455
## CA 0.0000000 0.4657258 0.04761905 0.47460317
## WY 0.5042735 0.1877808 0.03669090 0.05082459
## Contig_969944_81 Contig_972095_30 Contig_972803_65 Contig_975938_25
## ORN 0.4945055 0.5274725 0.4000000 0.1250000
## ID 0.5064935 0.3116883 0.2467532 0.5228758
## ORS 0.2091503 0.2941176 0.0000000 0.0000000
## CA 0.5116279 0.3712660 0.2243590 0.2857143
## WY 0.4820680 0.1705056 0.3029665 0.3787879
## Contig_977541_96 Contig_977890_43 Contig_978843_90 Contig_979698_72
## ORN 0.0000000 0.000000 0.0000000 0.5333333
## ID 0.1111111 0.000000 0.2467532 0.5052632
## ORS 0.4395604 0.000000 0.4000000 0.5032680
## CA 0.0000000 0.437863 0.4866310 0.5128205
## WY 0.1564537 0.000000 0.1755041 0.4857143
## Contig_979869_119 Contig_980155_43 Contig_980219_66 Contig_980381_20
## ORN 0.52747253 0.26373626 0.5274725 0.5250000
## ID 0.09090909 0.00000000 0.5064935 0.2684211
## ORS 0.40000000 0.48484848 0.5000000 0.4583333
## CA 0.00000000 0.04761905 0.4807692 0.5142857
## WY 0.04300048 0.16146561 0.4935964 0.2729875
## Contig_981516_10 Contig_981777_9 Contig_981987_80 Contig_983695_74
## ORN 0.0000000 0.0000000 0.4000000 0.0000000
## ID 0.5052632 0.4848485 0.5238095 0.4155844
## ORS 0.0000000 0.2333333 0.5228758 0.1428571
## CA 0.0000000 0.0500000 0.3857143 0.0000000
## WY 0.3129719 0.4881983 0.5040650 0.3182035
## Contig_985735_127 Contig_985948_10 Contig_986203_27 Contig_986966_85
## ORN 0.3626374 0.5384615 0.0000000 0.3555556
## ID 0.5210526 0.5238095 0.1731602 0.0000000
## ORS 0.2091503 0.5294118 0.1250000 0.0000000
## CA 0.2615385 0.4888889 0.3982930 0.0000000
## WY 0.2133333 0.5041979 0.3501291 0.1338481
## Contig_987710_17 Contig_987738_75 Contig_987885_86 Contig_988235_43
## ORN 0.14285714 0.4395604 0.49450549 0.3626374
## ID 0.17316017 0.1731602 0.45454545 0.3368421
## ORS 0.00000000 0.2091503 0.11111111 0.2941176
## CA 0.16913319 0.0500000 0.04761905 0.2410148
## WY 0.09284028 0.2330532 0.46718818 0.1228182
## Contig_988660_9 Contig_992689_85 Contig_994833_86 Contig_995188_20
## ORN 0.0000000 0.5454545 0.5454545 0.49450549
## ID 0.2467532 0.5064935 0.5238095 0.31168831
## ORS 0.0000000 0.2333333 0.5228758 0.20915033
## CA 0.0500000 0.4010695 0.5142857 0.00000000
## WY 0.2324847 0.3422969 0.5041075 0.09241972
## Contig_996400_4 Contig_998120_72 Contig_998732_14 Contig_998836_23
## ORN 0.5000000 0.5333333 0.40909091 0.2333333
## ID 0.5263158 0.3116883 0.09090909 0.4545455
## ORS 0.5032680 0.3250000 0.23333333 0.2091503
## CA 0.4866310 0.4807692 0.41269841 0.4907539
## WY 0.4733453 0.5005997 0.18514622 0.2839345
## Contig_999207_25 Contig_999967_131 Contig_1000235_52 Contig_1000554_34
## ORN 0.2637363 0.0000000 0.4848485 0.0000000
## ID 0.0000000 0.3116883 0.3660131 0.5238095
## ORS 0.5000000 0.1111111 0.2637363 0.4248366
## CA 0.0974359 0.4378630 0.0000000 0.0000000
## WY 0.0000000 0.0000000 0.3015310 0.4552229
## Contig_1000626_98 Contig_1001017_73 Contig_1001963_116 Contig_1002311_52
## ORN 0.4583333 0.48484848 0.4945055 0.0000000
## ID 0.4155844 0.09090909 0.5210526 0.1731602
## ORS 0.2091503 0.30303030 0.3250000 0.0000000
## CA 0.2731152 0.51209104 0.1571429 0.0000000
## WY 0.4057428 0.06831237 0.4862069 0.1961635
## Contig_1002899_30 Contig_1003616_77 Contig_1004242_15 Contig_1004824_86
## ORN 0.49450549 0.5333333 0.5274725 0.0000000
## ID 0.24675325 0.5194805 0.5238095 0.1894737
## ORS 0.20915033 0.2637363 0.5000000 0.0000000
## CA 0.48315912 0.3960511 0.4666667 0.5161290
## WY 0.04410279 0.4552514 0.4976397 0.2330532
## Contig_1005564_113 Contig_1005913_87 Contig_1006424_39 Contig_1007444_124
## ORN 0.1428571 0.26373626 0.32500000 0.5454545
## ID 0.2467532 0.00000000 0.09090909 0.4945055
## ORS 0.4945055 0.11111111 0.11111111 0.5274725
## CA 0.2845528 0.39829303 0.00000000 0.3413940
## WY 0.1977778 0.01694915 0.11311862 0.3224806
## Contig_1008265_14 Contig_1008527_21 Contig_1010613_43 Contig_1010766_60
## ORN 0.5384615 0.00000000 0.1250000 0.0000000
## ID 0.3116883 0.09090909 0.1894737 0.3116883
## ORS 0.4395604 0.00000000 0.4705882 0.0000000
## CA 0.5115385 0.00000000 0.5110337 0.0974359
## WY 0.4374533 0.17873230 0.1857367 0.3924528
## Contig_1010840_22 Contig_1011313_129 Contig_1011459_11 Contig_1011997_80
## ORN 0.1250000 0.5250000 0.00000000 0.1428571
## ID 0.4545455 0.4155844 0.10000000 0.4421053
## ORS 0.2941176 0.4395604 0.14285714 0.4090909
## CA 0.2508711 0.4831591 0.42247511 0.3594080
## WY 0.4301718 0.2496562 0.09005906 0.4443946
## Contig_1012153_129 Contig_1013332_5 Contig_1013348_70 Contig_1013539_36
## ORN 0.1250000 0.4395604 0.3030303 0.26373626
## ID 0.1731602 0.1731602 0.1111111 0.24675325
## ORS 0.4583333 0.4000000 0.4000000 0.00000000
## CA 0.1846154 0.4224751 0.3086771 0.09291521
## WY 0.1078167 0.3453947 0.1654545 0.30461579
## Contig_1014305_126 Contig_1014699_28 Contig_1015006_35 Contig_1015271_26
## ORN 0.5333333 0.0000000 0.00000000 0.5000000
## ID 0.5194805 0.4155844 0.29411765 0.3679654
## ORS 0.4248366 0.0000000 0.00000000 0.4848485
## CA 0.4779516 0.0000000 0.49230769 0.0974359
## WY 0.5038140 0.1640927 0.05354462 0.3151161
## Contig_1015848_8 Contig_1016050_34 Contig_1016854_127 Contig_1018097_106
## ORN 0.5333333 0.5384615 0.3030303 0.5303030
## ID 0.5238095 0.5263158 0.5194805 0.2467532
## ORS 0.5294118 0.5294118 0.5032680 0.4000000
## CA 0.5135135 0.4746032 0.5076923 0.0000000
## WY 0.5036940 0.4573374 0.4935964 0.1494886
## Contig_1018325_80 Contig_1019721_65 Contig_1020202_117 Contig_1021224_29
## ORN 0.0000000 0.4000000 0.3250000 0.00000000
## ID 0.2467532 0.5052632 0.3679654 0.00000000
## ORS 0.1250000 0.1428571 0.5032680 0.47058824
## CA 0.2243590 0.2961538 0.4365079 0.29946524
## WY 0.4423226 0.4975805 0.2562343 0.03959596
## Contig_1021921_68 Contig_1021946_58 Contig_1022908_28 Contig_1023180_41
## ORN 0.40909091 0.4395604 0.0000000 0.3555556
## ID 0.09090909 0.3116883 0.0000000 0.0000000
## ORS 0.00000000 0.4248366 0.0000000 0.0000000
## CA 0.00000000 0.4181185 0.4307692 0.4991087
## WY 0.20134652 0.1393274 0.0000000 0.1787323
## Contig_1023289_85 Contig_1023534_93 Contig_1026099_78 Contig_1026502_50
## ORN 0.4945055 0.1250000 0.5384615 0.5274725
## ID 0.4421053 0.1894737 0.4155844 0.5294118
## ORS 0.4945055 0.2941176 0.3626374 0.5250000
## CA 0.4779516 0.0000000 0.4991087 0.0000000
## WY 0.4628571 0.2204724 0.2508757 0.3489097
## Contig_1027052_96 Contig_1028282_33 Contig_1028578_38 Contig_1029729_54
## ORN 0.26373626 0.3555556 0.12500000 0.0000000
## ID 0.41558442 0.5000000 0.09090909 0.1894737
## ORS 0.23333333 0.5274725 0.00000000 0.0000000
## CA 0.04545455 0.4173387 0.00000000 0.0000000
## WY 0.23918333 0.4401544 0.32093023 0.1295352
## Contig_1030161_18 Contig_1030476_88 Contig_1031323_109 Contig_1032308_25
## ORN 0.0000000 0.00000000 0.00000000 0.4395604
## ID 0.1731602 0.00000000 0.00000000 0.4155844
## ORS 0.2091503 0.23333333 0.46666667 0.5294118
## CA 0.4666667 0.35555556 0.50793651 0.5080460
## WY 0.2234921 0.01515152 0.01666667 0.2352502
## Contig_1033673_88 Contig_1033731_94 Contig_1035181_29 Contig_1035288_15
## ORN 0.0000000 0.00000000 0.000000 0.5384615
## ID 0.0000000 0.00000000 0.000000 0.5294118
## ORS 0.1111111 0.45833333 0.325000 0.5333333
## CA 0.3449477 0.32820513 0.371266 0.5007112
## WY 0.0000000 0.01960784 0.000000 0.4541220
## Contig_1036279_20 Contig_1037490_6 Contig_1037764_117 Contig_1038061_95
## ORN 0.5333333 0.40000000 0.530303 0.52747253
## ID 0.5238095 0.00000000 0.000000 0.00000000
## ORS 0.5228758 0.42483660 0.000000 0.12500000
## CA 0.5105708 0.50071124 0.224359 0.45714286
## WY 0.5036472 0.01515152 0.000000 0.02040816
## Contig_1038365_95 Contig_1038760_27 Contig_1040394_67 Contig_1040460_89
## ORN 0.5274725 0.00000000 0.4000000 0.00000000
## ID 0.3679654 0.09090909 0.1894737 0.09090909
## ORS 0.5333333 0.26373626 0.0000000 0.00000000
## CA 0.5142857 0.19345661 0.0000000 0.49075391
## WY 0.4695981 0.16545455 0.1143928 0.14339059
## Contig_1040794_22 Contig_1043229_82 Contig_1043392_23 Contig_1043835_14
## ORN 0.2333333 0.30303030 0.45833333 0.1428571
## ID 0.1731602 0.20915033 0.09090909 0.4848485
## ORS 0.2091503 0.11111111 0.23333333 0.5333333
## CA 0.3449477 0.00000000 0.00000000 0.1765389
## WY 0.1813953 0.08757298 0.05996213 0.3381656
## Contig_1043998_89 Contig_1045086_17 Contig_1045139_75 Contig_1045786_71
## ORN 0.36263736 0.0000000 0.5250000 0.16666667
## ID 0.52287582 0.2467532 0.4155844 0.09090909
## ORS 0.53846154 0.0000000 0.2000000 0.52287582
## CA 0.04761905 0.0000000 0.2243590 0.48387097
## WY 0.41940154 0.3453947 0.4368254 0.05354462
## Contig_1045966_18 Contig_1045994_76 Contig_1046058_50 Contig_1046221_76
## ORN 0.2333333 0.12500000 0.4000000 0.43956044
## ID 0.1894737 0.09090909 0.5064935 0.45454545
## ORS 0.0000000 0.00000000 0.4583333 0.45833333
## CA 0.0500000 0.00000000 0.3310345 0.04545455
## WY 0.3694153 0.16249272 0.4867925 0.39591516
## Contig_1047442_27 Contig_1047533_46 Contig_1048953_64 Contig_1049757_11
## ORN 0.4395604 0.5333333 0.36263736 0.4945055
## ID 0.3679654 0.4545455 0.24675325 0.4848485
## ORS 0.4705882 0.3555556 0.23333333 0.1111111
## CA 0.4735729 0.4907539 0.05555556 0.0000000
## WY 0.2527233 0.2842664 0.41237113 0.4097035
## Contig_1049913_106 Contig_1050397_35 Contig_1051212_50 Contig_1051382_110
## ORN 0.1250000 0.5250000 0.4848485 0.3626374
## ID 0.4848485 0.0000000 0.3947368 0.5194805
## ORS 0.4705882 0.2091503 0.4248366 0.5032680
## CA 0.5126984 0.2845528 0.4623044 0.5076923
## WY 0.1624927 0.2842664 0.4633205 0.4552514
## Contig_1051489_73 Contig_1051743_57 Contig_1051995_78 Contig_1052148_29
## ORN 0.32500000 0.1666667 0.5333333 0.0000000
## ID 0.09090909 0.3679654 0.5238095 0.2467532
## ORS 0.20915033 0.4000000 0.5294118 0.1250000
## CA 0.09291521 0.5126984 0.5121951 0.0000000
## WY 0.08053221 0.2391769 0.5052632 0.2453416
## Contig_1052871_94 Contig_1053362_99 Contig_1053807_127 Contig_1053979_44
## ORN 0.43956044 0.5274725 0.14285714 0.5274725
## ID 0.09090909 0.5000000 0.36796537 0.0000000
## ORS 0.36601307 0.4000000 0.00000000 0.5000000
## CA 0.48387097 0.1765389 0.05263158 0.4705882
## WY 0.01724138 0.4012589 0.36026987 0.2432323
## Contig_1054239_102 Contig_1056542_83 Contig_1056681_42 Contig_1057076_46
## ORN 0.5384615 0.32500000 0.4000000 0.5384615
## ID 0.1000000 0.18947368 0.1731602 0.3679654
## ORS 0.5228758 0.42483660 0.2091503 0.4705882
## CA 0.4831591 0.45714286 0.4378630 0.4779516
## WY 0.2808989 0.04476058 0.1851462 0.1731634
## Contig_1057357_93 Contig_1058620_83 Contig_1059670_44 Contig_1059706_61
## ORN 0.0000000 0.5000000 0.0000000 0.26373626
## ID 0.3679654 0.5064935 0.1731602 0.00000000
## ORS 0.0000000 0.5333333 0.3626374 0.45833333
## CA 0.0000000 0.5115385 0.4705882 0.48888889
## WY 0.3783784 0.4951515 0.1624927 0.01694915
## Contig_1060732_69 Contig_1060983_77 Contig_1060992_56 Contig_1062309_34
## ORN 0.1428571 0.1428571 0.00000000 0.3030303
## ID 0.3947368 0.5064935 0.00000000 0.4848485
## ORS 0.0000000 0.3660131 0.29411765 0.5294118
## CA 0.0000000 0.1493599 0.42780749 0.4623044
## WY 0.4873659 0.4939715 0.03418291 0.4029985
## Contig_1063992_63 Contig_1065372_46 Contig_1065665_12 Contig_1065885_96
## ORN 0.40000000 0.53030303 0.0000000 0.1666667
## ID 0.00000000 0.31168831 0.4155844 0.4789474
## ORS 0.32500000 0.36263736 0.2941176 0.0000000
## CA 0.26153846 0.04761905 0.4435484 0.4597701
## WY 0.02173913 0.18165138 0.3168061 0.3161994
## Contig_1067809_39 Contig_1068488_45 Contig_1068681_111 Contig_1068751_24
## ORN 0.3030303 0.49450549 0.1428571 0.5250000
## ID 0.3116883 0.00000000 0.4421053 0.5238095
## ORS 0.4395604 0.52287582 0.4583333 0.4000000
## CA 0.4439746 0.41269841 0.1140820 0.4278075
## WY 0.3740321 0.01666667 0.1900326 0.4321212
## Contig_1069395_60 Contig_1069417_62 Contig_1072745_50 Contig_1073869_33
## ORN 0.0000000 0.2333333 0.45833333 0.49450549
## ID 0.1731602 0.3679654 0.09090909 0.00000000
## ORS 0.0000000 0.3660131 0.52941176 0.45833333
## CA 0.1423077 0.3576923 0.46666667 0.35769231
## WY 0.2945175 0.1842677 0.17623918 0.07199723
## Contig_1074117_89 Contig_1074619_81 Contig_1074882_81 Contig_1075857_55
## ORN 0.2637363 0.4945055 0.0000000 0.36263736
## ID 0.3368421 0.3116883 0.1731602 0.09090909
## ORS 0.3250000 0.4000000 0.0000000 0.29411765
## CA 0.2857143 0.3870968 0.5000000 0.00000000
## WY 0.3402062 0.3591208 0.1267737 0.08913119
## Contig_1075999_105 Contig_1076249_80 Contig_1076533_34 Contig_1076775_35
## ORN 0.4945055 0.3626374 0.4583333 0.1428571
## ID 0.5210526 0.2467532 0.2684211 0.1731602
## ORS 0.3555556 0.5294118 0.1250000 0.2941176
## CA 0.3086771 0.3712660 0.5075494 0.0000000
## WY 0.5034921 0.3737138 0.2802360 0.3260124
## Contig_1078362_26 Contig_1078396_59 Contig_1078924_106 Contig_1079188_123
## ORN 0.0000000 0.5333333 0.00000000 0.2000000
## ID 0.0000000 0.3679654 0.32500000 0.2091503
## ORS 0.0000000 0.2091503 0.53571429 0.3660131
## CA 0.4571429 0.0500000 0.22580645 0.0000000
## WY 0.0000000 0.2453416 0.09976434 0.1433906
## Contig_1081757_84 Contig_1082230_44 Contig_1082597_5 Contig_1083238_103
## ORN 0.4090909 0.1250000 0.12500000 0.23333333
## ID 0.3679654 0.1731602 0.17316017 0.00000000
## ORS 0.1250000 0.4583333 0.20915033 0.30303030
## CA 0.1079365 0.0000000 0.27378436 0.44381223
## WY 0.4483776 0.1705056 0.06660368 0.05751634
## Contig_1083294_26 Contig_1083444_124 Contig_1085272_94 Contig_1085536_32
## ORN 0.0000000 0.53030303 0.3030303 0.0000000
## ID 0.0000000 0.33684211 0.3116883 0.0000000
## ORS 0.1250000 0.00000000 0.2091503 0.3626374
## CA 0.3857143 0.08879493 0.0000000 0.4438122
## WY 0.0000000 0.29601030 0.4266409 0.0959596
## Contig_1085754_22 Contig_1087812_89 Contig_1089354_17 Contig_1089755_26
## ORN 0.5303030 0.1250000 0.52747253 0.0000000
## ID 0.5210526 0.0000000 0.00000000 0.0000000
## ORS 0.4945055 0.4945055 0.47058824 0.0000000
## CA 0.5126984 0.5079365 0.27311522 0.4438122
## WY 0.4193361 0.0200000 0.03360858 0.0000000
## Contig_1089843_9 Contig_1090421_33 Contig_1091222_65 Contig_1091263_109
## ORN 0.0000000 0.14285714 0.0000000 0.0000000
## ID 0.1000000 0.09090909 0.0000000 0.4545455
## ORS 0.0000000 0.52287582 0.3250000 0.2333333
## CA 0.0000000 0.51851852 0.3368984 0.3159117
## WY 0.3109091 0.03477721 0.0000000 0.4748580
## Contig_1091977_25 Contig_1092480_104 Contig_1092643_54 Contig_1093132_21
## ORN 0.00000000 0.3250000 0.4395604 0.0000000
## ID 0.24675325 0.2467532 0.4155844 0.2467532
## ORS 0.20915033 0.0000000 0.1428571 0.5228758
## CA 0.05882353 0.0000000 0.0000000 0.4378630
## WY 0.35701754 0.2103420 0.5005997 0.2265932
## Contig_1093905_12 Contig_1093921_84 Contig_1095549_50 Contig_1097969_117
## ORN 0.3626374 0.45833333 0.5384615 0.43956044
## ID 0.0000000 0.09090909 0.5263158 0.09090909
## ORS 0.5333333 0.42483660 0.1250000 0.00000000
## CA 0.5151515 0.00000000 0.2857143 0.24603175
## WY 0.2508757 0.04476058 0.4930710 0.04122807
## Contig_1098347_16 Contig_1098578_63 Contig_1098934_62 Contig_1100087_60
## ORN 0.4583333 0.5000000 0.0000000 0.0000000
## ID 0.3679654 0.4421053 0.3947368 0.3947368
## ORS 0.1250000 0.4248366 0.4848485 0.2333333
## CA 0.0000000 0.4378630 0.5110337 0.5012821
## WY 0.2869094 0.4131187 0.4820680 0.2340734
## Contig_1101226_51 Contig_1101464_35 Contig_1102113_21 Contig_1102408_34
## ORN 0.5303030 0.16666667 0.5274725 0.4945055
## ID 0.4848485 0.09090909 0.5052632 0.1000000
## ORS 0.5333333 0.00000000 0.1666667 0.0000000
## CA 0.5078236 0.09291521 0.3413940 0.1765389
## WY 0.4729730 0.15834154 0.5018443 0.1361134
## Contig_1103088_48 Contig_1103314_21 Contig_1103426_97 Contig_1103432_45
## ORN 0.0000000 0.0000000 0.3555556 0.00000000
## ID 0.1731602 0.3116883 0.2941176 0.09090909
## ORS 0.0000000 0.2941176 0.4945055 0.50326797
## CA 0.0000000 0.4126984 0.0625000 0.28455285
## WY 0.2391769 0.2807018 0.4813385 0.00000000
## Contig_1104529_81 Contig_1105208_97 Contig_1105874_20 Contig_1106668_16
## ORN 0.52747253 0.5333333 0.1666667 0.3626374
## ID 0.09090909 0.5000000 0.4848485 0.0000000
## ORS 0.47058824 0.5714286 0.4248366 0.2091503
## CA 0.27378436 0.4907539 0.5120910 0.4438122
## WY 0.02962630 0.4595226 0.4022520 0.0000000
## Contig_1106761_7 Contig_1106795_119 Contig_1107166_24 Contig_1107446_63
## ORN 0.3030303 0.50000000 0.5303030 0.32500000
## ID 0.2684211 0.47894737 0.4945055 0.09090909
## ORS 0.1250000 0.29411765 0.4945055 0.50000000
## CA 0.2347084 0.05263158 0.5012821 0.00000000
## WY 0.1885310 0.34666667 0.4834130 0.02000000
## Contig_1107524_78 Contig_1109415_109 Contig_1109579_15 Contig_1109721_64
## ORN 0.0000000 0.4666667 0.3626374 0.4090909
## ID 0.1731602 0.5333333 0.3679654 0.5238095
## ORS 0.1250000 0.3250000 0.4000000 0.4000000
## CA 0.1024182 0.1934566 0.4666667 0.5128205
## WY 0.2048503 0.4462366 0.3260124 0.4643306
## Contig_1109728_4 Contig_1109847_19 Contig_1111801_80 Contig_1113312_48
## ORN 0.12500000 0.14285714 0.49450549 0.16666667
## ID 0.09090909 0.09090909 0.09090909 0.00000000
## ORS 0.20915033 0.11111111 0.53333333 0.46666667
## CA 0.26153846 0.00000000 0.39829303 0.30867710
## WY 0.23917686 0.14339059 0.01851852 0.01785714
## Contig_1113844_4 Contig_1113907_82 Contig_1114836_112 Contig_1114975_71
## ORN 0.4395604 0.5000000 0.3626374 0.5274725
## ID 0.3679654 0.2467532 0.4248366 0.3116883
## ORS 0.2091503 0.3660131 0.5303030 0.4000000
## CA 0.1140820 0.0974359 0.2347084 0.1571429
## WY 0.3687453 0.2668037 0.3516807 0.4260965
## Contig_1115159_85 Contig_1116195_124 Contig_1116758_68 Contig_1116906_63
## ORN 0.0000000 0.2333333 0.36263736 0.3626374
## ID 0.1894737 0.4155844 0.18947368 0.2467532
## ORS 0.0000000 0.4248366 0.00000000 0.4248366
## CA 0.0000000 0.0000000 0.50128205 0.3555556
## WY 0.2474227 0.3815509 0.06294256 0.1366228
## Contig_1116937_65 Contig_1117464_10 Contig_1118519_84 Contig_1119069_84
## ORN 0.5454545 0.4945055 0.0000000 0.0000000
## ID 0.4421053 0.5263158 0.4848485 0.3947368
## ORS 0.4705882 0.5250000 0.2091503 0.0000000
## CA 0.2615385 0.5142857 0.0974359 0.0000000
## WY 0.4580116 0.4918491 0.3646949 0.4763970
## Contig_1119108_18 Contig_1119312_69 Contig_1120182_61 Contig_1120386_21
## ORN 0.53846154 0.2333333 0.4666667 0.0000000
## ID 0.00000000 0.1731602 0.5263158 0.1000000
## ORS 0.42483660 0.5032680 0.4090909 0.2333333
## CA 0.47038328 0.4623044 0.2737844 0.0000000
## WY 0.05590956 0.2133333 0.4779686 0.1542056
## Contig_1121999_41 Contig_1122705_11 Contig_1123275_48 Contig_1123399_124
## ORN 0.3030303 0.00000000 0.5303030 0.4583333
## ID 0.2467532 0.17316017 0.4789474 0.4848485
## ORS 0.1111111 0.23333333 0.5228758 0.2941176
## CA 0.0000000 0.10241821 0.0000000 0.0000000
## WY 0.1654545 0.08461419 0.4256303 0.1583415
## Contig_1123794_8 Contig_1123810_34 Contig_1124396_66 Contig_1124583_20
## ORN 0.0000000 0.5303030 0.5274725 0.0000000
## ID 0.4545455 0.4155844 0.1250000 0.4789474
## ORS 0.4583333 0.5032680 0.1666667 0.2333333
## CA 0.0000000 0.3716609 0.4571429 0.0500000
## WY 0.3206897 0.4183007 0.1274808 0.4403882
## Contig_1124696_17 Contig_1125193_127 Contig_1125511_107 Contig_1125803_73
## ORN 0.4090909 0.0000000 0.5274725 0.43956044
## ID 0.3679654 0.0000000 0.4155844 0.18947368
## ORS 0.4248366 0.0000000 0.4583333 0.50326797
## CA 0.5000000 0.0000000 0.5075494 0.05263158
## WY 0.2026954 0.1725067 0.2724902 0.29266182
## Contig_1126105_109 Contig_1126739_57 Contig_1126767_15 Contig_1127006_84
## ORN 0.00000000 0.1428571 0.0000000 0.1428571
## ID 0.09090909 0.5194805 0.2467532 0.1731602
## ORS 0.00000000 0.0000000 0.0000000 0.3250000
## CA 0.38571429 0.4779516 0.0000000 0.3086771
## WY 0.22461658 0.3453947 0.2271364 0.3206897
## Contig_1127397_27 Contig_1127670_91 Contig_1128184_8 Contig_1128770_60
## ORN 0.0000000 0.1428571 0.23333333 0.12500000
## ID 0.2467532 0.0000000 0.09090909 0.09090909
## ORS 0.0000000 0.0000000 0.00000000 0.29411765
## CA 0.0000000 0.0000000 0.00000000 0.05555556
## WY 0.2013465 0.1384562 0.16429133 0.17171053
## Contig_1129534_40 Contig_1130624_100 Contig_1131968_7 Contig_1132387_21
## ORN 0.5333333 0.0000000 0.5274725 0.2333333
## ID 0.4155844 0.5238095 0.3679654 0.2467532
## ORS 0.4583333 0.0000000 0.5333333 0.2941176
## CA 0.0974359 0.2615385 0.4831591 0.3712660
## WY 0.2991004 0.4914736 0.2137418 0.2007496
## Contig_1132597_67 Contig_1133082_53 Contig_1133093_58 Contig_1133562_130
## ORN 0.36263736 0.0000000 0.0000000 0.4285714
## ID 0.00000000 0.1731602 0.4848485 0.4155844
## ORS 0.50326797 0.1250000 0.4248366 0.0000000
## CA 0.05000000 0.2615385 0.1571429 0.0000000
## WY 0.01492537 0.1930502 0.2671326 0.1818182
## Contig_1133674_4 Contig_1133733_16 Contig_1134001_34 Contig_1134124_54
## ORN 0.0000000 0.5274725 0.0000000 0.16666667
## ID 0.1731602 0.3116883 0.5194805 0.09090909
## ORS 0.1111111 0.3030303 0.0000000 0.00000000
## CA 0.0000000 0.4705882 0.0500000 0.00000000
## WY 0.1741830 0.1090638 0.4659670 0.15994922
## Contig_1134286_15 Contig_1134383_32 Contig_1134550_50 Contig_1138629_131
## ORN 0.5384615 0.3250000 0.3250000 0.2333333
## ID 0.5194805 0.1000000 0.0000000 0.2467532
## ORS 0.5333333 0.0000000 0.4248366 0.2333333
## CA 0.4666667 0.0000000 0.4623044 0.0000000
## WY 0.4443509 0.2404293 0.1026834 0.2468571
## Contig_1138681_51 Contig_1142334_70 Contig_1142404_75 Contig_1142856_40
## ORN 0.3626374 0.0000000 0.5000000 0.0000000
## ID 0.5064935 0.3660131 0.3679654 0.2684211
## ORS 0.1111111 0.0000000 0.5384615 0.2333333
## CA 0.0000000 0.0000000 0.5120910 0.0000000
## WY 0.4804728 0.3684848 0.4033242 0.2324847
## Contig_1143404_82 Contig_1144651_16 Contig_1145170_31 Contig_1145725_66
## ORN 0.0000000 0.0000000 0.43956044 0.0000000
## ID 0.4545455 0.2467532 0.17316017 0.4545455
## ORS 0.4395604 0.2091503 0.29411765 0.1111111
## CA 0.0000000 0.2737844 0.09291521 0.1423077
## WY 0.5005434 0.2637099 0.25232384 0.3472765
## Contig_1146010_40 Contig_1148325_114 Contig_1148423_32 Contig_1148824_94
## ORN 0.4000000 0.1250000 0.0000000 0.12500000
## ID 0.5064935 0.3116883 0.2467532 0.39473684
## ORS 0.5250000 0.4248366 0.2091503 0.40000000
## CA 0.2845528 0.3159117 0.2148664 0.04545455
## WY 0.3937844 0.1885965 0.2587601 0.12117163
## Contig_1150792_69 Contig_1151150_13 Contig_1151154_69 Contig_1151616_34
## ORN 0.5384615 0.5333333 0.48484848 0.1250000
## ID 0.2091503 0.3679654 0.09090909 0.4848485
## ORS 0.4000000 0.5250000 0.11111111 0.1111111
## CA 0.1934566 0.4435484 0.49230769 0.0500000
## WY 0.1542056 0.2352502 0.03100394 0.2801120
## Contig_1151811_63 Contig_1152258_63 Contig_1152903_101 Contig_1153020_6
## ORN 0.1250000 0.4583333 0.0000000 0.52500000
## ID 0.4545455 0.3116883 0.3679654 0.18947368
## ORS 0.2091503 0.5250000 0.0000000 0.45833333
## CA 0.5115385 0.3837209 0.0000000 0.50754936
## WY 0.2538208 0.2696044 0.2137418 0.09314297
## Contig_1153595_119 Contig_1154806_99 Contig_1155952_35 Contig_1157724_18
## ORN 0.00000000 0.4395604 0.5000000 0.2637363
## ID 0.09090909 0.4421053 0.2467532 0.1731602
## ORS 0.00000000 0.2091503 0.4583333 0.0000000
## CA 0.00000000 0.1079365 0.5017422 0.2148664
## WY 0.15834154 0.1717105 0.2452830 0.3552243
## Contig_1157879_54 Contig_1158285_42 Contig_1158705_10 Contig_1159475_29
## ORN 0.4945055 0.12500000 0.4285714 0.0000000
## ID 0.4789474 0.09090909 0.4155844 0.2091503
## ORS 0.4945055 0.11111111 0.2500000 0.0000000
## CA 0.4365079 0.22435897 0.4907539 0.0000000
## WY 0.4423226 0.15740105 0.3738954 0.2096680
## Contig_1159952_47 Contig_1160916_90 Contig_1161952_48 Contig_1162106_48
## ORN 0.2333333 0.5333333 0.0000000 0.0000000
## ID 0.4848485 0.5064935 0.3116883 0.3116883
## ORS 0.1111111 0.5032680 0.0000000 0.0000000
## CA 0.0000000 0.4923077 0.0000000 0.0000000
## WY 0.3780488 0.5019683 0.2204724 0.1948179
## Contig_1162901_37 Contig_1163438_16 Contig_1163846_118 Contig_1163999_15
## ORN 0.4583333 0.1428571 0.5274725 0.5384615
## ID 0.5194805 0.0000000 0.4848485 0.5238095
## ORS 0.3660131 0.2333333 0.5274725 0.5333333
## CA 0.3086771 0.4439746 0.5076923 0.5121951
## WY 0.4138641 0.0000000 0.4787281 0.5035438
## Contig_1164706_64 Contig_1165505_31 Contig_1166257_38 Contig_1166875_77
## ORN 0.0000000 0.4583333 0.3030303 0.36263736
## ID 0.0000000 0.3368421 0.0000000 0.31168831
## ORS 0.0000000 0.0000000 0.1250000 0.00000000
## CA 0.5073996 0.0000000 0.4779516 0.05555556
## WY 0.1163983 0.3078947 0.0000000 0.11182295
## Contig_1167539_68 Contig_1168307_72 Contig_1170999_62 Contig_1171148_27
## ORN 0.1428571 0.0000000 0.2000000 0.00000000
## ID 0.5064935 0.3368421 0.0000000 0.09090909
## ORS 0.4395604 0.0000000 0.1250000 0.11111111
## CA 0.2508711 0.0000000 0.2508711 0.00000000
## WY 0.4499390 0.1812950 0.1298748 0.19107102
## Contig_1171254_39 Contig_1172339_114 Contig_1173151_15 Contig_1174065_17
## ORN 0.00000000 0.1428571 0.0000000 0.45833333
## ID 0.09090909 0.1111111 0.1111111 0.09090909
## ORS 0.00000000 0.1428571 0.1250000 0.50326797
## CA 0.04761905 0.0000000 0.1934566 0.50174216
## WY 0.32542942 0.2013785 0.1977778 0.06196825
## Contig_1176223_103 Contig_1177187_3 Contig_1177882_58 Contig_1178208_49
## ORN 0.4945055 0.0000000 0.0000000 0.0000000
## ID 0.4155844 0.0000000 0.4545455 0.4155844
## ORS 0.3660131 0.5250000 0.0000000 0.5333333
## CA 0.4623044 0.2347084 0.0000000 0.5126984
## WY 0.1993769 0.0000000 0.2364189 0.2238157
## Contig_1179387_56 Contig_1180045_63 Contig_1181278_24 Contig_1182417_4
## ORN 0.4583333 0.4090909 0.1428571 0.4848485
## ID 0.0000000 0.1000000 0.4155844 0.2467532
## ORS 0.3626374 0.0000000 0.4583333 0.2333333
## CA 0.4126984 0.1657754 0.3960511 0.4365079
## WY 0.0000000 0.1679272 0.3819683 0.1731634
## Contig_1182944_62 Contig_1183505_21 Contig_1183563_24 Contig_1185655_106
## ORN 0.4090909 0.1428571 0.0000000 0.5274725
## ID 0.4421053 0.2467532 0.2467532 0.5194805
## ORS 0.2941176 0.2333333 0.0000000 0.1111111
## CA 0.4866310 0.1423077 0.0000000 0.1423077
## WY 0.3781513 0.3046158 0.1885965 0.2942565
## Contig_1186888_19 Contig_1187175_4 Contig_1187877_109 Contig_1189048_61
## ORN 0.3555556 0.3030303 0.3030303 0.0000000
## ID 0.4848485 0.2091503 0.5052632 0.3679654
## ORS 0.4000000 0.3626374 0.1428571 0.0000000
## CA 0.4831591 0.1754032 0.1140820 0.0000000
## WY 0.4209069 0.1961635 0.4378649 0.1516264
## Contig_1189246_60 Contig_1190208_23 Contig_1190789_66 Contig_1190848_28
## ORN 0.00 0.4285714 0.5333333 0.0000000
## ID 0.00 0.2941176 0.5194805 0.4545455
## ORS 0.00 0.4848485 0.5250000 0.0000000
## CA 0.45 0.4807692 0.4923077 0.0000000
## WY 0.00 0.2729875 0.4398922 0.3853805
## Contig_1190955_10 Contig_1191162_51 Contig_1191529_115 Contig_1192369_48
## ORN 0.5000000 0.30303030 0.0000000 0.14285714
## ID 0.4155844 0.00000000 0.0000000 0.09090909
## ORS 0.4000000 0.00000000 0.0000000 0.52941176
## CA 0.4089744 0.51515152 0.0000000 0.47038328
## WY 0.3478342 0.03477721 0.1737143 0.12168896
## Contig_1193151_8 Contig_1193854_45 Contig_1194027_57 Contig_1194657_13
## ORN 0.12500000 0.23333333 0.0000000 0.5333333
## ID 0.09090909 0.09090909 0.2684211 0.5238095
## ORS 0.00000000 0.36601307 0.0000000 0.4945055
## CA 0.43786295 0.00000000 0.2845528 0.5012821
## WY 0.06010733 0.23144654 0.3182035 0.3981818
## Contig_1194802_46 Contig_1195580_59 Contig_1195630_104 Contig_1195648_131
## ORN 0.5274725 0.4583333 0.0000000 0.4945055
## ID 0.5194805 0.5263158 0.1731602 0.5194805
## ORS 0.5333333 0.5294118 0.0000000 0.5000000
## CA 0.2243590 0.1571429 0.0000000 0.2061311
## WY 0.4424370 0.4984424 0.2651402 0.3351515
## Contig_1195816_85 Contig_1197445_63 Contig_1198048_77 Contig_1198228_79
## ORN 0.0000000 0.2333333 0.5333333 0.00000000
## ID 0.0000000 0.4545455 0.5238095 0.09090909
## ORS 0.1111111 0.2941176 0.2091503 0.20915033
## CA 0.4852008 0.4224751 0.3707665 0.47357294
## WY 0.0000000 0.2330532 0.4683076 0.23852609
## Contig_1198891_103 Contig_1199274_39 Contig_1199305_48 Contig_1199323_34
## ORN 0.2000000 0.0000000 0.35555556 0.5274725
## ID 0.5194805 0.1731602 0.09090909 0.5194805
## ORS 0.2091503 0.0000000 0.16666667 0.4583333
## CA 0.5017422 0.0000000 0.28455285 0.4365079
## WY 0.4950022 0.2434405 0.08743928 0.4175439
## Contig_1200164_101 Contig_1200796_127 Contig_1201372_86 Contig_1201708_66
## ORN 0.2333333 0.4395604 0.3626374 0.0000000
## ID 0.4848485 0.3116883 0.1731602 0.1428571
## ORS 0.2091503 0.3250000 0.0000000 0.0000000
## CA 0.0000000 0.0000000 0.0000000 0.0000000
## WY 0.3453947 0.1842677 0.1473016 0.2203704
## Contig_1201736_19 Contig_1202546_14 Contig_1202683_30 Contig_1202701_51
## ORN 0.5250000 0.26373626 0.5274725 0.3626374
## ID 0.3116883 0.09090909 0.2467532 0.2467532
## ORS 0.1250000 0.30303030 0.4248366 0.5228758
## CA 0.1765389 0.38461538 0.0974359 0.4089744
## WY 0.2547594 0.05751634 0.1921757 0.4831447
## Contig_1202860_33 Contig_1203551_56 Contig_1203814_40 Contig_1204185_64
## ORN 0.0000000 0.4000000 0.3030303 0.5274725
## ID 0.4155844 0.1731602 0.3368421 0.5064935
## ORS 0.0000000 0.4583333 0.0000000 0.4248366
## CA 0.3282051 0.5000000 0.0000000 0.4307692
## WY 0.2994738 0.4893553 0.2385261 0.4947526
## Contig_1204837_25 Contig_1205902_24 Contig_1206101_85 Contig_1206814_105
## ORN 0.52500000 0.000 0.16666667 0.40000000
## ID 0.17316017 0.000 0.09090909 0.17316017
## ORS 0.45833333 0.125 0.52500000 0.00000000
## CA 0.04761905 0.500 0.47460317 0.00000000
## WY 0.29053968 0.020 0.03418291 0.08913119
## Contig_1207187_128 Contig_1207941_59 Contig_1210479_5 Contig_1210508_37
## ORN 0.4945055 0.2333333 0.0000000 0.53333333
## ID 0.5238095 0.4155844 0.2467532 0.10000000
## ORS 0.5250000 0.4945055 0.2941176 0.29411765
## CA 0.3982930 0.4705882 0.0000000 0.33298097
## WY 0.4947526 0.3397683 0.2029840 0.03539254
## Contig_1212960_92 Contig_1213549_127 Contig_1213793_4 Contig_1214423_16
## ORN 0.2637363 0.3626374 0.1250000 0.1666667
## ID 0.3679654 0.1894737 0.3947368 0.5064935
## ORS 0.4000000 0.4945055 0.1111111 0.4583333
## CA 0.1423077 0.1423077 0.0000000 0.3086771
## WY 0.4502249 0.2057245 0.2831155 0.3302271
## Contig_1214889_61 Contig_1215144_30 Contig_1216057_61 Contig_1216566_78
## ORN 0.52747253 0.5333333 0.0000000 0.49450549
## ID 0.09090909 0.1894737 0.3679654 0.00000000
## ORS 0.23333333 0.4945055 0.1250000 0.54545455
## CA 0.09291521 0.1300211 0.0974359 0.04545455
## WY 0.06605824 0.1402929 0.3430368 0.04760031
## Contig_1217100_101 Contig_1217690_8 Contig_1218026_60 Contig_1219953_54
## ORN 0.00000000 0.4000000 0.2637363 0.5333333
## ID 0.17316017 0.5194805 0.4545455 0.2684211
## ORS 0.00000000 0.5032680 0.0000000 0.4000000
## CA 0.42247511 0.4509804 0.1358885 0.3282051
## WY 0.09074573 0.4822629 0.4359571 0.2232073
## Contig_1220078_49 Contig_1220176_102 Contig_1221590_104 Contig_1221698_51
## ORN 0.4395604 0.43956044 0.3250000 0.5384615
## ID 0.4155844 0.00000000 0.3679654 0.1731602
## ORS 0.4248366 0.42483660 0.4000000 0.0000000
## CA 0.0000000 0.45528455 0.0000000 0.2061311
## WY 0.3061541 0.01587302 0.4726891 0.2314465
## Contig_1222627_128 Contig_1222729_57 Contig_1223766_122 Contig_1225207_9
## ORN 0.0000000 0.16666667 0.3030303 0.0000000
## ID 0.0000000 0.09090909 0.2091503 0.0000000
## ORS 0.0000000 0.45833333 0.4395604 0.2091503
## CA 0.4991087 0.21390374 0.4010695 0.0000000
## WY 0.0000000 0.01923077 0.3274489 0.1943312
## Contig_1226198_24 Contig_1226458_118 Contig_1228460_99 Contig_1228813_127
## ORN 0.2637363 0.00000000 0.14285714 0.1250000
## ID 0.0000000 0.00000000 0.00000000 0.3679654
## ORS 0.3030303 0.11111111 0.36263736 0.4848485
## CA 0.3528226 0.51153846 0.51587302 0.2961538
## WY 0.1846660 0.01785714 0.03539254 0.4916895
## Contig_1229118_37 Contig_1229277_32 Contig_1233195_22 Contig_1234748_128
## ORN 0.1666667 0.4000000 0.5333333 0.3030303
## ID 0.4248366 0.3250000 0.5238095 0.1894737
## ORS 0.5384615 0.2091503 0.5294118 0.0000000
## CA 0.4807692 0.4173387 0.5116279 0.0000000
## WY 0.4021008 0.4359571 0.5031860 0.2305543
## Contig_1235333_84 Contig_1235726_117 Contig_1236774_7 Contig_1236790_86
## ORN 0.2637363 0.0000000 0.52747253 0.4000000
## ID 0.5064935 0.3116883 0.00000000 0.5064935
## ORS 0.4583333 0.1250000 0.40000000 0.5228758
## CA 0.1423077 0.2347084 0.50782361 0.0000000
## WY 0.5019685 0.3829858 0.01639344 0.3093916
## Contig_1237682_66 Contig_1237857_104 Contig_1238795_113 Contig_1238802_16
## ORN 0.12500000 0.3250000 0.26373626 0.5333333
## ID 0.09090909 0.5032680 0.52631579 0.4848485
## ORS 0.52500000 0.3030303 0.00000000 0.5250000
## CA 0.21486643 0.2615385 0.04761905 0.4907539
## WY 0.18151261 0.3394286 0.44437031 0.4283489
## Contig_1238991_14 Contig_1241276_29 Contig_1244068_77 Contig_1246278_7
## ORN 0.4000000 0.5333333 0.5274725 0.4000000
## ID 0.2467532 0.5238095 0.1731602 0.3679654
## ORS 0.4000000 0.4705882 0.0000000 0.1250000
## CA 0.5078236 0.3449477 0.0000000 0.4888889
## WY 0.2981818 0.4846227 0.1846660 0.1731634
## Contig_1246905_106 Contig_1246953_33 Contig_1247606_117 Contig_1247958_33
## ORN 0.4000000 0.2333333 0.2637363 0.0000000
## ID 0.5052632 0.3116883 0.1731602 0.3116883
## ORS 0.5250000 0.0000000 0.5384615 0.5250000
## CA 0.5126984 0.0000000 0.5128205 0.1079365
## WY 0.3950525 0.4027606 0.2133333 0.2210526
## Contig_1248086_63 Contig_1249063_37 Contig_1249086_38 Contig_1249795_41
## ORN 0.0000000 0.3030303 0.5250000 0.3030303
## ID 0.5194805 0.2091503 0.0000000 0.1894737
## ORS 0.0000000 0.4945055 0.3250000 0.1111111
## CA 0.0000000 0.5007112 0.1765389 0.3368984
## WY 0.4806061 0.1558286 0.2956305 0.2575758
## Contig_1250600_44 Contig_1250902_4 Contig_1253711_67 Contig_1254902_114
## ORN 0.5274725 0.00000000 0.3250000 0.0000000
## ID 0.1731602 0.09090909 0.0000000 0.3116883
## ORS 0.4000000 0.00000000 0.4705882 0.2637363
## CA 0.2731152 0.00000000 0.2031746 0.0000000
## WY 0.1685251 0.39069970 0.1161372 0.2471042
## Contig_1257017_18 Contig_1257461_110 Contig_1258425_67 Contig_1259255_40
## ORN 0.50000000 0.0000000 0.30303030 0.2333333
## ID 0.09090909 0.0000000 0.00000000 0.3250000
## ORS 0.47058824 0.4000000 0.40000000 0.0000000
## CA 0.41811847 0.2347084 0.18461538 0.0000000
## WY 0.08408982 0.0000000 0.05260618 0.4144884
## Contig_1259450_54 Contig_1260142_15 Contig_1262177_59 Contig_1262757_43
## ORN 0.36263736 0.00000000 0.0000000 0.00000000
## ID 0.00000000 0.00000000 0.3116883 0.00000000
## ORS 0.00000000 0.45833333 0.4248366 0.52941176
## CA 0.28455285 0.19345661 0.0000000 0.04761905
## WY 0.06716642 0.02173913 0.1421121 0.12953523
## Contig_1263894_49 Contig_1264497_68 Contig_1264898_51 Contig_1265127_38
## ORN 0.4945055 0.3626374 0.12500000 0.5250000
## ID 0.4421053 0.2467532 0.09090909 0.5194805
## ORS 0.5294118 0.0000000 0.00000000 0.3250000
## CA 0.4260042 0.0000000 0.25087108 0.1765389
## WY 0.4934435 0.2991004 0.32293578 0.4260965
## Contig_1265547_64 Contig_1266113_82 Contig_1267450_18 Contig_1268447_35
## ORN 0.5250000 0.4583333 0.2333333 0.4090909
## ID 0.5238095 0.3116883 0.0000000 0.4848485
## ORS 0.5333333 0.4248366 0.1111111 0.5000000
## CA 0.5105708 0.1657754 0.0000000 0.1657754
## WY 0.5026721 0.2210526 0.1543860 0.4533333
## Contig_1270002_21 Contig_1270087_102 Contig_1270948_101 Contig_1271532_110
## ORN 0.0000000 0.0000000 0.2637363 0.1428571
## ID 0.0000000 0.3660131 0.0000000 0.4155844
## ORS 0.0000000 0.0000000 0.4248366 0.5228758
## CA 0.4089744 0.4779516 0.2857143 0.2961538
## WY 0.0200000 0.5046729 0.0000000 0.2890217
## Contig_1271839_65 Contig_1272114_18 Contig_1272272_80 Contig_1273648_54
## ORN 0.1666667 0.0000000 0.00000000 0.4945055
## ID 0.3368421 0.1731602 0.50326797 0.3116883
## ORS 0.1111111 0.0000000 0.00000000 0.4848485
## CA 0.0000000 0.2994652 0.05263158 0.4500000
## WY 0.2038503 0.1624927 0.21333333 0.3109091
## Contig_1276368_71 Contig_1277056_87 Contig_1277195_14 Contig_1277508_10
## ORN 0.43956044 0.3250000 0.1250000 0.5384615
## ID 0.00000000 0.4155844 0.1894737 0.5238095
## ORS 0.00000000 0.4583333 0.3660131 0.5294118
## CA 0.31591173 0.1691332 0.4552846 0.5110337
## WY 0.01724138 0.4542700 0.3819683 0.5049505
## Contig_1278120_100 Contig_1278242_18 Contig_1279263_18 Contig_1281310_124
## ORN 0.00000000 0.0000000 0.0000000 0.2637363
## ID 0.09090909 0.1000000 0.2467532 0.4848485
## ORS 0.47058824 0.0000000 0.0000000 0.2333333
## CA 0.13588850 0.0000000 0.4623044 0.4703833
## WY 0.10268336 0.1494886 0.2608696 0.5029985
## Contig_1281844_59 Contig_1282215_29 Contig_1283365_78 Contig_1283375_7
## ORN 0.4000000 0.14285714 0.0000000 0.23333333
## ID 0.0000000 0.09090909 0.3116883 0.18947368
## ORS 0.2941176 0.40000000 0.0000000 0.00000000
## CA 0.4852008 0.51269841 0.0000000 0.04761905
## WY 0.0000000 0.22461658 0.2096680 0.38396802
## Contig_1283479_56 Contig_1284327_33 Contig_1284516_5 Contig_1285291_102
## ORN 0.3555556 0.2333333 0.5454545 0.4848485
## ID 0.0000000 0.4545455 0.3368421 0.4248366
## ORS 0.4248366 0.1111111 0.2000000 0.3030303
## CA 0.4779516 0.2615385 0.4666667 0.0500000
## WY 0.0000000 0.3660107 0.3410795 0.2398801
## Contig_1285485_29 Contig_1285581_52 Contig_1287235_31 Contig_1287703_117
## ORN 0.16666667 0.1428571 0.30303030 0.2637363
## ID 0.00000000 0.0000000 0.50649351 0.2467532
## ORS 0.48484848 0.4705882 0.42483660 0.1111111
## CA 0.37126600 0.1846154 0.05263158 0.0000000
## WY 0.03305322 0.0000000 0.35522434 0.3310345
## Contig_1287841_118 Contig_1288067_63 Contig_1288290_115 Contig_1288296_68
## ORN 0.525000 0.0000000 0.0000000 0.4583333
## ID 0.000000 0.0000000 0.2091503 0.4155844
## ORS 0.000000 0.5454545 0.3030303 0.2637363
## CA 0.398293 0.3857143 0.5133690 0.2615385
## WY 0.000000 0.0000000 0.2398801 0.3100450
## Contig_1288442_31 Contig_1288993_59 Contig_1289625_92 Contig_1289785_128
## ORN 0.0000000 0.53333333 0.1428571 0.0000000
## ID 0.5052632 0.09090909 0.3679654 0.0000000
## ORS 0.4705882 0.50326797 0.5294118 0.4248366
## CA 0.4307692 0.49910873 0.4907539 0.3222222
## WY 0.4250375 0.15834154 0.2391769 0.0000000
## Contig_1290982_18 Contig_1291012_48 Contig_1293829_45 Contig_1294370_74
## ORN 0.0000000 0.1250000 0.00000000 0.5333333
## ID 0.0000000 0.0000000 0.00000000 0.5194805
## ORS 0.2091503 0.4000000 0.00000000 0.5228758
## CA 0.0000000 0.5110337 0.30443975 0.2061311
## WY 0.1877808 0.1372549 0.08151034 0.5019608
## Contig_1295032_53 Contig_1295118_52 Contig_1296057_29 Contig_1296111_73
## ORN 0.4395604 0.2000000 0.43956044 0.53846154
## ID 0.2467532 0.5238095 0.17316017 0.09090909
## ORS 0.2091503 0.3030303 0.14285714 0.47058824
## CA 0.0000000 0.5012821 0.25087108 0.09291521
## WY 0.0768254 0.4906542 0.03737646 0.22848485
## Contig_1296354_80 Contig_1297184_42 Contig_1298321_31 Contig_1298343_81
## ORN 0.5000000 0.5274725 0.0000000 0.1428571
## ID 0.4155844 0.5210526 0.3679654 0.3660131
## ORS 0.0000000 0.5032680 0.0000000 0.3626374
## CA 0.0000000 0.5075494 0.0000000 0.2994652
## WY 0.2343171 0.4886349 0.2103420 0.1816514
## Contig_1298373_17 Contig_1298515_44 Contig_1300010_53 Contig_1300451_36
## ORN 0.3250000 0.4395604 0.1428571 0.4945055
## ID 0.3679654 0.5238095 0.5064935 0.4155844
## ORS 0.5032680 0.4705882 0.0000000 0.0000000
## CA 0.1691332 0.4807692 0.1765389 0.2731152
## WY 0.3142369 0.4194015 0.5031740 0.3539209
## Contig_1301699_57 Contig_1301861_28 Contig_1301921_23 Contig_1302467_13
## ORN 0.0000000 0.4583333 0.5333333 0.26373626
## ID 0.4848485 0.3368421 0.4545455 0.18947368
## ORS 0.3660131 0.1250000 0.5228758 0.32500000
## CA 0.3576923 0.0000000 0.5128205 0.05555556
## WY 0.2807018 0.2352502 0.4321212 0.22058824
## Contig_1303311_37 Contig_1304054_77 Contig_1304870_128 Contig_1305399_97
## ORN 0.4090909 0.2333333 0.0000000 0.5384615
## ID 0.4705882 0.3679654 0.1731602 0.2467532
## ORS 0.5303030 0.5000000 0.0000000 0.4705882
## CA 0.4746032 0.2615385 0.0000000 0.3282051
## WY 0.4905839 0.2801120 0.1654247 0.4465409
## Contig_1305988_60 Contig_1306645_106 Contig_1307420_51 Contig_1307799_125
## ORN 0.4000000 0.1428571 0.5333333 0.5274725
## ID 0.2467532 0.0000000 0.5238095 0.3679654
## ORS 0.5000000 0.5274725 0.5294118 0.2941176
## CA 0.4552846 0.2148664 0.5116279 0.5079365
## WY 0.2587601 0.0000000 0.5036496 0.3957529
## Contig_1308366_95 Contig_1308475_27 Contig_1310041_78 Contig_1310066_14
## ORN 0.0000000 0.00000000 0.0000000 0.1428571
## ID 0.0000000 0.09090909 0.2467532 0.2684211
## ORS 0.1111111 0.36601307 0.0000000 0.4945055
## CA 0.2615385 0.24101480 0.0000000 0.2148664
## WY 0.1198730 0.06937307 0.1514833 0.1357199
## Contig_1310944_108 Contig_1311092_64 Contig_1312267_24 Contig_1313005_13
## ORN 0.4945055 0.5250000 0.2637363 0.0000000
## ID 0.5228758 0.4848485 0.5194805 0.1000000
## ORS 0.5250000 0.4000000 0.5228758 0.1250000
## CA 0.1024182 0.4010695 0.4435484 0.0000000
## WY 0.4916895 0.2171260 0.4341591 0.1977401
## Contig_1313304_79 Contig_1313436_32 Contig_1313585_7 Contig_1313698_53
## ORN 0.000000 0.3555556 0.46666667 0.00000000
## ID 0.000000 0.0000000 0.09090909 0.36796537
## ORS 0.000000 0.4666667 0.45833333 0.00000000
## CA 0.483871 0.3712660 0.47357294 0.00000000
## WY 0.000000 0.0000000 0.14599107 0.08757298
## Contig_1314357_68 Contig_1314477_41 Contig_1314512_3 Contig_1314630_16
## ORN 0.4090909 0.4666667 0.6000000 0.400000
## ID 0.0000000 0.0000000 0.3660131 0.000000
## ORS 0.4000000 0.1111111 0.4090909 0.325000
## CA 0.2615385 0.3086771 0.0974359 0.341394
## WY 0.1006055 0.0000000 0.4292812 0.000000
## Contig_1314732_127 Contig_1315076_45 Contig_1315283_63 Contig_1316779_34
## ORN 0.5384615 0.4395604 0.5333333 0.0000000
## ID 0.0000000 0.5064935 0.4848485 0.3116883
## ORS 0.5303030 0.4705882 0.5294118 0.4248366
## CA 0.5142857 0.5128205 0.5115385 0.3282051
## WY 0.0000000 0.4657321 0.5039806 0.1564537
## Contig_1317081_34 Contig_1317545_44 Contig_1317580_32 Contig_1318206_52
## ORN 0.1428571 0.16666667 0.23333333 0.0000000
## ID 0.5194805 0.00000000 0.17316017 0.1731602
## ORS 0.3660131 0.47058824 0.11111111 0.0000000
## CA 0.5110337 0.51209104 0.08879493 0.0000000
## WY 0.4796970 0.01785714 0.47836349 0.2085384
## Contig_1318408_18 Contig_1318552_4 Contig_1318925_108 Contig_1323539_29
## ORN 0.3250000 0.5274725 0.0000000 0.00000000
## ID 0.0000000 0.5210526 0.3679654 0.09090909
## ORS 0.0000000 0.5333333 0.0000000 0.32500000
## CA 0.4059197 0.5080645 0.0000000 0.22435897
## WY 0.0000000 0.5031153 0.1759044 0.00000000
## Contig_1323597_22 Contig_1324252_123 Contig_1324852_89 Contig_1324961_36
## ORN 0.36263736 0.5333333 0.12500000 0.3030303
## ID 0.10000000 0.3368421 0.00000000 0.4583333
## ORS 0.52500000 0.4248366 0.12500000 0.1666667
## CA 0.48663102 0.5017422 0.17653891 0.0000000
## WY 0.01785714 0.2971211 0.08618561 0.4421945
## Contig_1325335_29 Contig_1325860_88 Contig_1327885_85 Contig_1328444_69
## ORN 0.5333333 0.0000000 0.5333333 0.5333333
## ID 0.3679654 0.5064935 0.1731602 0.3116883
## ORS 0.4583333 0.0000000 0.5032680 0.5032680
## CA 0.4500000 0.0000000 0.5012821 0.5110337
## WY 0.2763853 0.5042017 0.2533489 0.2765673
## Contig_1328657_93 Contig_1329306_31 Contig_1329350_118 Contig_1330005_42
## ORN 0.1250000 0.4395604 0.0000000 0.0000000
## ID 0.0000000 0.3368421 0.4545455 0.5052632
## ORS 0.0000000 0.0000000 0.2637363 0.4395604
## CA 0.3960511 0.0000000 0.5075494 0.0000000
## WY 0.0000000 0.2373352 0.2029840 0.3994721
## Contig_1330766_37 Contig_1330910_42 Contig_1331827_10 Contig_1333494_96
## ORN 0.0000000 0.2637363 0.5250000 0.0000000
## ID 0.2467532 0.5064935 0.3679654 0.5064935
## ORS 0.5294118 0.5228758 0.2091503 0.1666667
## CA 0.1300211 0.5142857 0.0000000 0.3282051
## WY 0.1790031 0.5038038 0.3410795 0.4867925
## Contig_1333662_117 Contig_1333818_22 Contig_1334975_106 Contig_1335531_12
## ORN 0.32500000 0.3626374 0.00000000 0.26373626
## ID 0.48484848 0.3116883 0.09090909 0.24675325
## ORS 0.52500000 0.1250000 0.36263736 0.23333333
## CA 0.04761905 0.0000000 0.35555556 0.05263158
## WY 0.08913119 0.1596341 0.00000000 0.07331536
## Contig_1335576_44 Contig_1336723_90 Contig_1337713_99 Contig_1338101_94
## ORN 0.0000000 0.4395604 0.0000000 0.52500000
## ID 0.2467532 0.2467532 0.4545455 0.00000000
## ORS 0.0000000 0.2333333 0.3660131 0.29411765
## CA 0.0000000 0.0000000 0.4703833 0.09291521
## WY 0.2656679 0.2664474 0.3224806 0.25815873
## Contig_1338153_92 Contig_1340527_3 Contig_1341365_58 Contig_1341630_11
## ORN 0.4848485 0.32500000 0.5333333 0.0000000
## ID 0.1731602 0.17316017 0.4848485 0.2467532
## ORS 0.3626374 0.50326797 0.4705882 0.0000000
## CA 0.4623044 0.09291521 0.3159117 0.0000000
## WY 0.1851462 0.03360858 0.5040616 0.1393274
## Contig_1342123_33 Contig_1344942_95 Contig_1345459_68 Contig_1347782_81
## ORN 0.5333333 0.4945055 0.43956044 0.5384615
## ID 0.5238095 0.3116883 0.09090909 0.5238095
## ORS 0.5294118 0.4248366 0.40000000 0.5294118
## CA 0.5128205 0.2148664 0.18461538 0.5105708
## WY 0.5035461 0.1518348 0.13402062 0.4897311
## Contig_1348977_33 Contig_1349148_87 Contig_1350049_71 Contig_1350947_125
## ORN 0.4000000 0.46666667 0.00000000 0.0000000
## ID 0.4545455 0.18947368 0.00000000 0.0000000
## ORS 0.5032680 0.49450549 0.00000000 0.0000000
## CA 0.3594080 0.49075391 0.49470899 0.0974359
## WY 0.3817531 0.07331536 0.03737646 0.1871064
## Contig_1351101_25 Contig_1351748_9 Contig_1352365_56 Contig_1352652_12
## ORN 0.0000000 0.0000000 0.30303030 0.3250000
## ID 0.2091503 0.5064935 0.00000000 0.3679654
## ORS 0.1666667 0.5294118 0.52500000 0.5000000
## CA 0.2508711 0.4866310 0.47795164 0.4923077
## WY 0.4640748 0.3981818 0.03603003 0.3678930
## Contig_1353843_79 Contig_1354241_46 Contig_1355037_30 Contig_1355045_129
## ORN 0.00000000 0.1666667 0.0000000 0.00000000
## ID 0.50326797 0.3679654 0.3116883 0.00000000
## ORS 0.43956044 0.0000000 0.3660131 0.11111111
## CA 0.09291521 0.2508711 0.1846154 0.51336898
## WY 0.25475943 0.3577818 0.2391833 0.03100394
## Contig_1355556_6 Contig_1356278_26 Contig_1358694_58 Contig_1359029_56
## ORN 0.4848485 0.1250000 0.32500000 0.49450549
## ID 0.5238095 0.0000000 0.00000000 0.36796537
## ORS 0.5032680 0.2333333 0.47058824 0.52287582
## CA 0.1024182 0.3159117 0.05882353 0.06666667
## WY 0.4769948 0.0000000 0.00000000 0.18778077
## Contig_1360427_120 Contig_1360584_8 Contig_1361502_37 Contig_1363030_129
## ORN 0.00000000 0.1428571 0.1666667 0.40000000
## ID 0.24675325 0.2467532 0.1731602 0.00000000
## ORS 0.45833333 0.0000000 0.4945055 0.52747253
## CA 0.00000000 0.0000000 0.4907539 0.25087108
## WY 0.09895052 0.3736587 0.2623733 0.01886792
## Contig_1363706_26 Contig_1363862_102 Contig_1364829_113 Contig_1366630_36
## ORN 0.00000000 0.0000000 0.1428571 0.0000000
## ID 0.09090909 0.0000000 0.4545455 0.1731602
## ORS 0.32500000 0.5032680 0.0000000 0.0000000
## CA 0.04761905 0.3222222 0.1493599 0.3960511
## WY 0.37837838 0.0000000 0.4639175 0.1163983
## Contig_1367043_12 Contig_1367455_61 Contig_1367628_82 Contig_1367852_16
## ORN 0.5333333 0.00000000 0.0000000 0.00000000
## ID 0.4421053 0.09090909 0.3116883 0.00000000
## ORS 0.4945055 0.20915033 0.0000000 0.42483660
## CA 0.5115385 0.00000000 0.2731152 0.51351351
## WY 0.5019490 0.19635827 0.3660107 0.01470588
## Contig_1367854_95 Contig_1368821_98 Contig_1369064_23 Contig_1370211_31
## ORN 0.0000000 0.5454545 0.0000000 0.40000000
## ID 0.1731602 0.3368421 0.2467532 0.31168831
## ORS 0.2941176 0.5032680 0.4583333 0.49450549
## CA 0.1934566 0.4666667 0.0000000 0.09291521
## WY 0.1039178 0.2846361 0.1558286 0.31853282
## Contig_1371325_72 Contig_1371812_45 Contig_1372732_96 Contig_1372777_17
## ORN 0.2637363 0.5000000 0.0000000 0.0000000
## ID 0.1731602 0.1731602 0.5052632 0.1731602
## ORS 0.0000000 0.2091503 0.0000000 0.5228758
## CA 0.2731152 0.0000000 0.0000000 0.5115385
## WY 0.1340206 0.1107843 0.5019670 0.3464052
## Contig_1373909_53 Contig_1374680_46 Contig_1374690_45 Contig_1375072_40
## ORN 0.5333333 0.5333333 0.16666667 0.4945055
## ID 0.2467532 0.5194805 0.09090909 0.4545455
## ORS 0.4285714 0.5032680 0.43956044 0.2333333
## CA 0.4378630 0.5073996 0.48387097 0.1024182
## WY 0.2019407 0.4942085 0.08757298 0.3839680
## Contig_1375554_87 Contig_1376964_25 Contig_1377343_69 Contig_1378893_44
## ORN 0.4945055 0.00000000 0.00000000 0.4395604
## ID 0.4545455 0.09090909 0.36796537 0.1731602
## ORS 0.2333333 0.42483660 0.00000000 0.2941176
## CA 0.3222222 0.24603175 0.04761905 0.4991087
## WY 0.5043131 0.09595960 0.39591516 0.1366228
## Contig_1379439_31 Contig_1380284_80 Contig_1380298_78 Contig_1380691_41
## ORN 0.4285714 0.0000000 0.4945055 0.32500000
## ID 0.3660131 0.2467532 0.5194805 0.09090909
## ORS 0.5000000 0.0000000 0.5228758 0.26373626
## CA 0.0500000 0.0000000 0.0974359 0.46230441
## WY 0.3508246 0.1291011 0.4886349 0.07331536
## Contig_1381594_20 Contig_1382212_63 Contig_1382313_117 Contig_1383406_29
## ORN 0.0000000 0.1250000 0.5333333 0.43956044
## ID 0.3679654 0.3679654 0.5064935 0.33684211
## ORS 0.1111111 0.0000000 0.5032680 0.52500000
## CA 0.0000000 0.2961538 0.5007112 0.09291521
## WY 0.4195003 0.4225168 0.4918491 0.29712106
## Contig_1383512_20 Contig_1385876_100 Contig_1386261_123 Contig_1386596_114
## ORN 0.3250000 0.53571429 0.2637363 0.52747253
## ID 0.5064935 0.09090909 0.3116883 0.00000000
## ORS 0.0000000 0.52500000 0.5000000 0.50326797
## CA 0.2961538 0.50782361 0.4936121 0.28571429
## WY 0.4892254 0.30743243 0.2314465 0.03007171
## Contig_1387337_54 Contig_1388349_3 Contig_1388718_78 Contig_1390266_24
## ORN 0.0000000 0.1250000 0.3030303 0.000000
## ID 0.4545455 0.0000000 0.2684211 0.100000
## ORS 0.4583333 0.2637363 0.1250000 0.000000
## CA 0.4623044 0.4746032 0.0000000 0.000000
## WY 0.2628827 0.0000000 0.3232323 0.297035
## Contig_1390356_4 Contig_1391821_123 Contig_1392921_88 Contig_1393139_124
## ORN 0.5333333 0.5333333 0.2333333 0.4000000
## ID 0.5238095 0.5238095 0.3679654 0.2467532
## ORS 0.5333333 0.5294118 0.0000000 0.0000000
## CA 0.5128205 0.4947146 0.0000000 0.0000000
## WY 0.5045045 0.4947526 0.2421569 0.1737143
## Contig_1393266_120 Contig_1393773_53 Contig_1394409_111 Contig_1395636_48
## ORN 0.1428571 0.1250000 0.1250000 0.000000
## ID 0.5263158 0.4155844 0.3116883 0.000000
## ORS 0.2941176 0.5032680 0.0000000 0.000000
## CA 0.0000000 0.4705882 0.5000000 0.398293
## WY 0.4612697 0.1443778 0.2508757 0.000000
## Contig_1399671_35 Contig_1400035_11 Contig_1400268_13 Contig_1401023_70
## ORN 0.1428571 0.49450549 0.0000000 0.14285714
## ID 0.3116883 0.00000000 0.3660131 0.00000000
## ORS 0.1428571 0.48484848 0.1666667 0.00000000
## CA 0.0000000 0.50802139 0.4010695 0.34494774
## WY 0.3994721 0.01923077 0.2434405 0.03418291
## Contig_1401886_106 Contig_1402531_5 Contig_1402567_14 Contig_1403803_14
## ORN 0.0000000 0.36263736 0.48484848 0.26373626
## ID 0.4789474 0.41558442 0.09090909 0.17316017
## ORS 0.0000000 0.00000000 0.23333333 0.00000000
## CA 0.0000000 0.04545455 0.19345661 0.04761905
## WY 0.3074324 0.34020619 0.15162636 0.18573668
## Contig_1404301_57 Contig_1406271_39 Contig_1407458_75 Contig_1407479_7
## ORN 0.14285714 0.00000000 0.12500000 0.2333333
## ID 0.09090909 0.09090909 0.36796537 0.5064935
## ORS 0.32500000 0.11111111 0.00000000 0.2091503
## CA 0.16913319 0.27378436 0.05263158 0.0000000
## WY 0.14868687 0.10708221 0.23370787 0.4084418
## Contig_1407644_27 Contig_1407791_21 Contig_1408058_40 Contig_1408828_39
## ORN 0.5384615 0.5250000 0.3250000 0.3250000
## ID 0.5238095 0.5238095 0.5194805 0.4545455
## ORS 0.5228758 0.5294118 0.4705882 0.1111111
## CA 0.4852008 0.5012821 0.3716609 0.0000000
## WY 0.4983660 0.5033708 0.4280936 0.2210526
## Contig_1409052_36 Contig_1409069_110 Contig_1409579_88 Contig_1410231_15
## ORN 0.42857143 0.5274725 0.0000000 0.0000000
## ID 0.00000000 0.3368421 0.2467532 0.3116883
## ORS 0.23333333 0.4000000 0.2333333 0.0000000
## CA 0.50793651 0.1493599 0.4703833 0.0000000
## WY 0.07199723 0.3453947 0.1162863 0.2890217
## Contig_1411232_109 Contig_1411294_51 Contig_1411728_67 Contig_1413411_21
## ORN 0.4848485 0.2637363 0.4090909 0.5000000
## ID 0.5210526 0.3947368 0.4789474 0.3250000
## ORS 0.2941176 0.5250000 0.3250000 0.3030303
## CA 0.4936121 0.4705882 0.3576923 0.5172414
## WY 0.4346971 0.2587601 0.3997224 0.1317667
## Contig_1413426_129 Contig_1413983_10 Contig_1415051_51 Contig_1415056_27
## ORN 0.43956044 0.0000000 0.4945055 0.3250000
## ID 0.00000000 0.0000000 0.4545455 0.5238095
## ORS 0.20000000 0.0000000 0.5274725 0.5032680
## CA 0.00000000 0.4089744 0.5079365 0.5128205
## WY 0.07757576 0.0000000 0.3320755 0.3524784
## Contig_1415344_9 Contig_1416056_4 Contig_1417369_9 Contig_1418933_86
## ORN 0.1250000 0.2333333 0.3250000 0.1250000
## ID 0.3116883 0.3116883 0.0000000 0.0000000
## ORS 0.5384615 0.0000000 0.5032680 0.0000000
## CA 0.0000000 0.5012821 0.4438122 0.4089744
## WY 0.1564537 0.3551901 0.0319958 0.0000000
## Contig_1419319_23 Contig_1419543_67 Contig_1419557_28 Contig_1419788_61
## ORN 0.26373626 0.4090909 0.0000000 0.0000000
## ID 0.00000000 0.1000000 0.3679654 0.4421053
## ORS 0.45833333 0.5250000 0.2637363 0.0000000
## CA 0.40106952 0.4923077 0.2731152 0.0000000
## WY 0.01538462 0.1842677 0.4374533 0.4285340
## Contig_1422887_116 Contig_1423389_64 Contig_1424059_27 Contig_1424402_31
## ORN 0.1250000 0.5000000 0.5333333 0.00000000
## ID 0.4848485 0.1000000 0.5238095 0.31168831
## ORS 0.2091503 0.4000000 0.5294118 0.00000000
## CA 0.0000000 0.0000000 0.5116279 0.41269841
## WY 0.3965414 0.1951761 0.5031080 0.01960784
## Contig_1426533_113 Contig_1426690_55 Contig_1428816_61 Contig_1429733_18
## ORN 0.3250000 0.0000000 0.12500000 0.26373626
## ID 0.2467532 0.2467532 0.45454545 0.00000000
## ORS 0.5000000 0.0000000 0.52941176 0.23333333
## CA 0.5115385 0.0000000 0.09291521 0.47460317
## WY 0.1629950 0.2911765 0.24925317 0.09783295
## Contig_1431021_68 Contig_1431814_41 Contig_1432515_80 Contig_1432606_67
## ORN 0.00000000 0.20000000 0.12500000 0.2333333
## ID 0.48484848 0.17316017 0.41558442 0.2684211
## ORS 0.42483660 0.49450549 0.32500000 0.2637363
## CA 0.05263158 0.14230769 0.05263158 0.0000000
## WY 0.45129392 0.05765871 0.40634507 0.1459911
## Contig_1433323_87 Contig_1433778_71 Contig_1434026_41 Contig_1434592_87
## ORN 0.5333333 0.0000000 0.2637363 0.5454545
## ID 0.5194805 0.3679654 0.3116883 0.2467532
## ORS 0.5294118 0.1111111 0.5333333 0.5250000
## CA 0.5121951 0.3576923 0.3555556 0.4438122
## WY 0.5032680 0.3326331 0.1943312 0.4736842
## Contig_1434826_61 Contig_1435528_120 Contig_1435788_75 Contig_1436883_118
## ORN 0.2637363 0.45833333 0.2637363 0.3250000
## ID 0.5064935 0.09090909 0.5238095 0.3116883
## ORS 0.4583333 0.42483660 0.5250000 0.3030303
## CA 0.4991087 0.50802139 0.3982930 0.4666667
## WY 0.5036940 0.16852514 0.5017883 0.1762392
## Contig_1439118_89 Contig_1439746_72 Contig_1440230_45 Contig_1441104_96
## ORN 0.0000000 0.5000000 0.0000000 0.0000000
## ID 0.2467532 0.2684211 0.1731602 0.2467532
## ORS 0.4705882 0.4705882 0.0000000 0.2091503
## CA 0.3857143 0.5017422 0.0000000 0.0000000
## WY 0.0366909 0.4300654 0.1842677 0.2175313
## Contig_1441548_41 Contig_1441678_25 Contig_1444140_42 Contig_1444755_27
## ORN 0.00000000 0.5555556 0.00000000 0.5250000
## ID 0.00000000 0.5210526 0.00000000 0.0000000
## ORS 0.42483660 0.5333333 0.23333333 0.2941176
## CA 0.44381223 0.4888889 0.31591173 0.4807692
## WY 0.01612903 0.4797508 0.01694915 0.1056721
## Contig_1445123_69 Contig_1446263_67 Contig_1447112_65 Contig_1447971_79
## ORN 0.3250000 0.2637363 0.49450549 0.4000000
## ID 0.3368421 0.1000000 0.09090909 0.4155844
## ORS 0.5228758 0.0000000 0.43956044 0.5228758
## CA 0.4623044 0.0000000 0.30443975 0.4623044
## WY 0.4464286 0.1467163 0.12624846 0.2109228
## Contig_1449599_12 Contig_1449983_113 Contig_1450770_109 Contig_1453096_63
## ORN 0.4583333 0.5714286 0.50000000 0.5555556
## ID 0.1731602 0.1111111 0.09090909 0.5238095
## ORS 0.5333333 0.4090909 0.50000000 0.5294118
## CA 0.2615385 0.3413940 0.34139403 0.4907539
## WY 0.4175439 0.2971211 0.07757576 0.4916895
## Contig_1453399_19 Contig_1453533_40 Contig_1454759_66 Contig_1457275_38
## ORN 0.4848485 0.0000000 0.1428571 0.26373626
## ID 0.5052632 0.0000000 0.0000000 0.17316017
## ORS 0.5294118 0.0000000 0.2091503 0.20915033
## CA 0.5012821 0.4509804 0.3982930 0.35769231
## WY 0.4704957 0.0000000 0.0000000 0.03149206
## Contig_1458542_116 Contig_1459655_21 Contig_1460004_58 Contig_1460786_54
## ORN 0.50000000 0.4000000 0.45833333 0.46666667
## ID 0.24675325 0.5194805 0.09090909 0.31168831
## ORS 0.36601307 0.3660131 0.42483660 0.40909091
## CA 0.38571429 0.1846154 0.34139403 0.04761905
## WY 0.08184847 0.3737138 0.03360858 0.37777778
## Contig_1461181_38 Contig_1461758_87 Contig_1461941_117 Contig_1463104_110
## ORN 0.5333333 0.0000000 0.3626374 0.0000000
## ID 0.0000000 0.0000000 0.5064935 0.4848485
## ORS 0.0000000 0.3660131 0.4090909 0.3250000
## CA 0.0000000 0.4571429 0.2731152 0.3716609
## WY 0.1245283 0.0200000 0.3634246 0.5036472
## Contig_1463591_37 Contig_1464108_112 Contig_1464673_27 Contig_1465137_83
## ORN 0.1250000 0.4945055 0.4945055 0.00000000
## ID 0.0000000 0.4848485 0.4545455 0.09090909
## ORS 0.2333333 0.4583333 0.5384615 0.36601307
## CA 0.5078236 0.5079365 0.2508711 0.51209104
## WY 0.0000000 0.4342105 0.4255166 0.04685714
## Contig_1465975_17 Contig_1467794_25 Contig_1469349_16 Contig_1469378_36
## ORN 0.0000000 0.5303030 0.0000000 0.4945055
## ID 0.3679654 0.3679654 0.1731602 0.1731602
## ORS 0.5228758 0.1111111 0.0000000 0.4705882
## CA 0.0000000 0.5141129 0.1423077 0.3576923
## WY 0.4488449 0.2803738 0.1477838 0.1958911
## Contig_1469578_26 Contig_1470271_93 Contig_1470750_14 Contig_1470799_47
## ORN 0.1428571 0.4000000 0.4395604 0.4945055
## ID 0.4155844 0.0000000 0.4155844 0.4155844
## ORS 0.3626374 0.1111111 0.5000000 0.4248366
## CA 0.4571429 0.4705882 0.4936121 0.4705882
## WY 0.2801120 0.0000000 0.4736486 0.4912281
## Contig_1470862_6 Contig_1470902_50 Contig_1471190_45 Contig_1471762_18
## ORN 0.4583333 0.2637363 0.53333333 0.2333333
## ID 0.5238095 0.1894737 0.18947368 0.4545455
## ORS 0.5032680 0.3626374 0.36601307 0.5294118
## CA 0.4438122 0.0000000 0.21390374 0.5073996
## WY 0.3532234 0.2671326 0.03882741 0.4524490
## Contig_1471919_27 Contig_1474629_63 Contig_1475279_33 Contig_1479430_76
## ORN 0.5333333 0.00000000 0.14285714 0.2637363
## ID 0.5263158 0.00000000 0.17316017 0.3368421
## ORS 0.5294118 0.00000000 0.45833333 0.4583333
## CA 0.5116279 0.51209104 0.51411290 0.2615385
## WY 0.5034943 0.08496732 0.04476058 0.2981818
## Contig_1479444_100 Contig_1480014_79 Contig_1480821_23 Contig_1481711_44
## ORN 0.16666667 0.23333333 0.53846154 0.4395604
## ID 0.24675325 0.45454545 0.00000000 0.1731602
## ORS 0.12500000 0.00000000 0.47058824 0.4583333
## CA 0.08879493 0.05263158 0.39829303 0.3222222
## WY 0.38196825 0.41548065 0.03477721 0.2718778
## Contig_1481984_76 Contig_1482005_50 Contig_1482246_89 Contig_1482291_41
## ORN 0.5250000 0.3626374 0.4395604 0.1250000
## ID 0.4545455 0.0000000 0.4789474 0.5052632
## ORS 0.5250000 0.1111111 0.1250000 0.0000000
## CA 0.0000000 0.4666667 0.2410148 0.0000000
## WY 0.4872549 0.2398801 0.4193361 0.3791209
## Contig_1483577_76 Contig_1484181_21 Contig_1485949_15 Contig_1487255_4
## ORN 0.1250000 0.5000000 0.5000000 0.5333333
## ID 0.4421053 0.1731602 0.0000000 0.5238095
## ORS 0.3250000 0.5294118 0.1111111 0.5294118
## CA 0.0000000 0.4365079 0.0000000 0.5116279
## WY 0.2409060 0.2088767 0.1107843 0.5033538
## Contig_1487880_103 Contig_1488059_35 Contig_1488303_13 Contig_1488410_24
## ORN 0.1666667 0.48484848 0.5000000 0.40909091
## ID 0.4000000 0.00000000 0.4545455 0.41558442
## ORS 0.1428571 0.43956044 0.5294118 0.12500000
## CA 0.4365079 0.05000000 0.4947146 0.05882353
## WY 0.2878561 0.05354462 0.4694486 0.45525141
## Contig_1489692_119 Contig_1491116_92 Contig_1491705_53 Contig_1492166_96
## ORN 0.14285714 0.5454545 0.4945055 0.14285714
## ID 0.31168831 0.3368421 0.4545455 0.50649351
## ORS 0.53333333 0.3555556 0.0000000 0.12500000
## CA 0.17653891 0.2347084 0.0000000 0.04545455
## WY 0.07199723 0.3815509 0.2492532 0.48053221
## Contig_1493018_24 Contig_1493369_70 Contig_1496630_58 Contig_1497118_6
## ORN 0.53333333 0.0000000 0.0000000 0.2333333
## ID 0.00000000 0.1731602 0.3947368 0.1731602
## ORS 0.14285714 0.3660131 0.0000000 0.1111111
## CA 0.18620690 0.0000000 0.0000000 0.0000000
## WY 0.03360858 0.2890217 0.3901910 0.1216890
## Contig_1497156_57 Contig_1499646_90 Contig_1500074_26 Contig_1500273_8
## ORN 0.5333333 0.00000000 0.0000000 0.0000000
## ID 0.5294118 0.41558442 0.1731602 0.2467532
## ORS 0.4583333 0.00000000 0.1111111 0.0000000
## CA 0.4224751 0.47460317 0.2615385 0.0000000
## WY 0.4671882 0.09074573 0.2229547 0.1433906
## Contig_1500326_69 Contig_1500491_6 Contig_1501263_31 Contig_1501324_37
## ORN 0.52747253 0.4583333 0.20000000 0.00000000
## ID 0.00000000 0.0000000 0.17316017 0.09090909
## ORS 0.40000000 0.5250000 0.00000000 0.20915033
## CA 0.19345661 0.2845528 0.05882353 0.49075391
## WY 0.01724138 0.0000000 0.10978342 0.12326804
## Contig_1502378_55 Contig_1503036_88 Contig_1503349_84 Contig_1503983_129
## ORN 0.0000000 0.0000000 0.0000000 0.1428571
## ID 0.2467532 0.3679654 0.1894737 0.3679654
## ORS 0.0000000 0.5000000 0.0000000 0.1111111
## CA 0.0000000 0.4705882 0.2845528 0.0000000
## WY 0.1596341 0.4848485 0.1514833 0.2651402
## Contig_1505490_38 Contig_1509660_63 Contig_1510600_8 Contig_1510638_64
## ORN 0.0000000 0.5384615 0.4395604 0.5303030
## ID 0.1731602 0.5238095 0.1731602 0.2684211
## ORS 0.0000000 0.5228758 0.0000000 0.4248366
## CA 0.0500000 0.5115385 0.2031746 0.2845528
## WY 0.2103420 0.4968173 0.1788376 0.1118229
## Contig_1510786_121 Contig_1513799_19 Contig_1514978_116 Contig_1516960_30
## ORN 0.36263736 0.3626374 0.0000000 0.5333333
## ID 0.09090909 0.3368421 0.3679654 0.0000000
## ORS 0.40909091 0.3250000 0.1250000 0.3660131
## CA 0.43786295 0.4979839 0.2737844 0.4657258
## WY 0.00000000 0.2173576 0.2343171 0.1291011
## Contig_1518128_103 Contig_1518558_13 Contig_1519843_99 Contig_1520537_7
## ORN 0.5333333 0.0000000 0.4848485 0.0000000
## ID 0.3116883 0.0000000 0.3947368 0.2941176
## ORS 0.3660131 0.3660131 0.3250000 0.1111111
## CA 0.4260042 0.5078236 0.2410148 0.0000000
## WY 0.4095238 0.0000000 0.2628827 0.3158005
## Contig_1520950_122 Contig_1521719_86 Contig_1522756_8 Contig_1523422_67
## ORN 0.5384615 0.2637363 0.2637363 0.3030303
## ID 0.4155844 0.3116883 0.4155844 0.3116883
## ORS 0.5000000 0.1111111 0.0000000 0.1428571
## CA 0.4779516 0.0000000 0.0000000 0.1423077
## WY 0.4872549 0.2133333 0.3819683 0.2980626
## Contig_1523805_30 Contig_1524752_33 Contig_1526121_57 Contig_1526587_109
## ORN 0.4090909 0.0000000 0.30303030 0.00000000
## ID 0.5210526 0.0000000 0.00000000 0.48484848
## ORS 0.4945055 0.0000000 0.36263736 0.00000000
## CA 0.4735729 0.4089744 0.38709677 0.09291521
## WY 0.2057245 0.0000000 0.05260618 0.28363493
## Contig_1527267_36 Contig_1529096_69 Contig_1529942_31 Contig_1530264_42
## ORN 0.4583333 0.46666667 0.0000000 0.1250000
## ID 0.3679654 0.11111111 0.2467532 0.3660131
## ORS 0.4945055 0.35555556 0.4248366 0.2091503
## CA 0.5064935 0.50802139 0.4991087 0.4746032
## WY 0.4588235 0.03539254 0.1846660 0.3991228
## Contig_1531515_8 Contig_1535284_8 Contig_1536253_71 Contig_1536497_79
## ORN 0.00000000 0.5303030 0.0000000 0.5000000
## ID 0.12500000 0.3679654 0.1731602 0.4155844
## ORS 0.54545455 0.2333333 0.2333333 0.3660131
## CA 0.49798387 0.0500000 0.2508711 0.5151515
## WY 0.04997827 0.1057778 0.1338481 0.4512939
## Contig_1536824_19 Contig_1537101_133 Contig_1537445_17 Contig_1538348_50
## ORN 0.00000000 0.5555556 0.26373626 0.52500000
## ID 0.09090909 0.3368421 0.11111111 0.00000000
## ORS 0.23333333 0.4945055 0.00000000 0.12500000
## CA 0.09291521 0.2961538 0.04761905 0.05263158
## WY 0.37371384 0.2718778 0.41716341 0.03882741
## Contig_1538353_62 Contig_1538573_94 Contig_1541018_10 Contig_1542312_87
## ORN 0.0000000 0.1250000 0.5000000 0.4000000
## ID 0.3679654 0.5210526 0.5052632 0.3368421
## ORS 0.2333333 0.0000000 0.5250000 0.0000000
## CA 0.1934566 0.5135135 0.4746032 0.2737844
## WY 0.2890217 0.3161994 0.4971751 0.4371964
## Contig_1543711_19 Contig_1543982_126 Contig_1544470_10 Contig_1544522_15
## ORN 0.2637363 0.4395604 0.0000000 0.00000000
## ID 0.2467532 0.4155844 0.0000000 0.09090909
## ORS 0.0000000 0.4848485 0.1666667 0.00000000
## CA 0.0000000 0.4666667 0.3712660 0.00000000
## WY 0.2981818 0.4443509 0.0000000 0.17860610
## Contig_1545442_73 Contig_1547290_85 Contig_1547336_55 Contig_1548341_86
## ORN 0.1250000 0.5333333 0.3250000 0.43956044
## ID 0.1000000 0.1731602 0.5064935 0.09090909
## ORS 0.4248366 0.1250000 0.5294118 0.23333333
## CA 0.4500000 0.1358885 0.3282051 0.18461538
## WY 0.3434304 0.2492532 0.5029129 0.02040816
## Contig_1548514_124 Contig_1548849_77 Contig_1550069_75 Contig_1550668_40
## ORN 0.1428571 0.3626374 0.00000000 0.5250000
## ID 0.3116883 0.3679654 0.00000000 0.3116883
## ORS 0.0000000 0.4848485 0.52500000 0.4248366
## CA 0.2615385 0.2845528 0.37076649 0.4307692
## WY 0.3337781 0.3991228 0.06831237 0.3368185
## Contig_1551018_66 Contig_1551377_118 Contig_1551837_12 Contig_1552223_113
## ORN 0.00000000 0.2637363 0.5274725 0.0000000
## ID 0.24675325 0.5064935 0.3679654 0.1894737
## ORS 0.42483660 0.1111111 0.5294118 0.1250000
## CA 0.18461538 0.0974359 0.2731152 0.0000000
## WY 0.08618561 0.4754240 0.3634246 0.1654247
## Contig_1553129_15 Contig_1553247_41 Contig_1553471_45 Contig_1553475_121
## ORN 0.4583333 0.2637363 0.1666667 0.40000000
## ID 0.0000000 0.3116883 0.4848485 0.09090909
## ORS 0.0000000 0.2941176 0.2333333 0.00000000
## CA 0.0000000 0.0000000 0.4378630 0.00000000
## WY 0.1280361 0.4464286 0.4027606 0.28393452
## Contig_1554192_62 Contig_1556418_59 Contig_1556651_39 Contig_1557842_10
## ORN 0.45833333 0.23333333 0.5274725 0.5274725
## ID 0.00000000 0.24675325 0.3660131 0.4848485
## ORS 0.00000000 0.50000000 0.4000000 0.2941176
## CA 0.46230441 0.05882353 0.5080214 0.5121951
## WY 0.03882741 0.31423692 0.4348670 0.3074324
## Contig_1558158_129 Contig_1558342_53 Contig_1559947_118 Contig_1560664_32
## ORN 0.0000000 0.0000000 0.325000 0.53846154
## ID 0.4545455 0.4545455 0.000000 0.00000000
## ORS 0.0000000 0.1250000 0.325000 0.52500000
## CA 0.0000000 0.0000000 0.224359 0.00000000
## WY 0.2515206 0.4995222 0.000000 0.05451713
## Contig_1564283_44 Contig_1567058_27 Contig_1568018_76 Contig_1568780_37
## ORN 0.4583333 0.0000000 0.2637363 0.1428571
## ID 0.1731602 0.3116883 0.1731602 0.4705882
## ORS 0.3660131 0.1111111 0.0000000 0.1111111
## CA 0.5007112 0.0000000 0.0000000 0.1024182
## WY 0.1842677 0.2911765 0.3465160 0.4097035
## Contig_1569535_124 Contig_1571629_106 Contig_1572832_103 Contig_1573300_96
## ORN 0.4583333 0.0000000 0.0000000 0.5384615
## ID 0.3679654 0.4248366 0.4421053 0.3679654
## ORS 0.1250000 0.0000000 0.4945055 0.4583333
## CA 0.5078236 0.4509804 0.5115385 0.3449477
## WY 0.3100450 0.3897143 0.3897143 0.3621328
## Contig_1573401_130 Contig_1573883_11 Contig_1576445_46 Contig_1576463_61
## ORN 0.0000000 0.5274725 0.5454545 0.00000000
## ID 0.0000000 0.3660131 0.0000000 0.17316017
## ORS 0.5000000 0.5228758 0.1250000 0.45833333
## CA 0.2243590 0.4779516 0.3282051 0.41733871
## WY 0.1018074 0.1725067 0.0000000 0.08618561
## Contig_1578259_82 Contig_1579716_7 Contig_1580827_37 Contig_1581012_66
## ORN 0.0000000 0.5384615 0.1666667 0.0000000
## ID 0.2467532 0.5238095 0.2684211 0.1894737
## ORS 0.0000000 0.5294118 0.4248366 0.0000000
## CA 0.0000000 0.5128205 0.4779516 0.0000000
## WY 0.1338481 0.5037594 0.3670288 0.2664474
## Contig_1581083_129 Contig_1581472_85 Contig_1581921_32 Contig_1582053_116
## ORN 0.43956044 0.0000000 0.2000000 0.16666667
## ID 0.10000000 0.2467532 0.1731602 0.09090909
## ORS 0.20915033 0.1250000 0.5250000 0.26373626
## CA 0.00000000 0.0000000 0.3449477 0.45977011
## WY 0.09005906 0.1784520 0.2657480 0.00000000
## Contig_1582242_37 Contig_1582857_39 Contig_1584509_114 Contig_1586094_73
## ORN 0.3626374 0.1250000 0.14285714 0.1428571
## ID 0.0000000 0.2467532 0.00000000 0.5194805
## ORS 0.3250000 0.5032680 0.11111111 0.4248366
## CA 0.4804598 0.4439746 0.19345661 0.4378630
## WY 0.1202669 0.3778626 0.07331536 0.4175439
## Contig_1586963_41 Contig_1587411_81 Contig_1589179_87 Contig_1592191_65
## ORN 0.0000000 0.0000000 0.4090909 0.4848485
## ID 0.2091503 0.1894737 0.4545455 0.5052632
## ORS 0.1428571 0.0000000 0.2091503 0.4248366
## CA 0.1571429 0.3846154 0.2460317 0.2994652
## WY 0.1059190 0.3206897 0.2729875 0.5044998
## Contig_1594887_117 Contig_1595036_5 Contig_1595125_123 Contig_1595808_92
## ORN 0.12500000 0.5000000 0.00000000 0.0000000
## ID 0.17316017 0.4545455 0.09090909 0.0000000
## ORS 0.29411765 0.0000000 0.00000000 0.2333333
## CA 0.04761905 0.0500000 0.00000000 0.5079365
## WY 0.07468260 0.2096680 0.15892054 0.0000000
## Contig_1596754_19 Contig_1598080_6 Contig_1599077_38 Contig_1599959_92
## ORN 0.5274725 0.12500000 0.46666667 0.26373626
## ID 0.5238095 0.51948052 0.31168831 0.09090909
## ORS 0.4583333 0.23333333 0.43956044 0.36263736
## CA 0.1024182 0.04545455 0.00000000 0.32820513
## WY 0.5018868 0.48905020 0.04997827 0.31680610
## Contig_1601933_111 Contig_1603659_124 Contig_1606837_73 Contig_1607013_34
## ORN 0.5384615 0.00000000 0.1428571 0.4090909
## ID 0.0000000 0.09090909 0.5064935 0.3660131
## ORS 0.5294118 0.36601307 0.1250000 0.1428571
## CA 0.4804598 0.34139403 0.0500000 0.5080645
## WY 0.0000000 0.21735755 0.4861443 0.4485981
## Contig_1607170_6 Contig_1610952_69 Contig_1611128_9 Contig_1612006_57
## ORN 0.5333333 0.00000000 0.5333333 0.5250000
## ID 0.5194805 0.26373626 0.3679654 0.2467532
## ORS 0.1250000 0.23333333 0.5333333 0.4945055
## CA 0.3837209 0.37166086 0.5079365 0.2148664
## WY 0.5032611 0.09579832 0.2607562 0.1665510
## Contig_1612888_44 Contig_1613156_83 Contig_1613905_109 Contig_1614468_60
## ORN 0.0000000 0.5250000 0.4090909 0.32500000
## ID 0.1111111 0.2467532 0.4789474 0.09090909
## ORS 0.4000000 0.2941176 0.4000000 0.45833333
## CA 0.1140820 0.1691332 0.3960511 0.15714286
## WY 0.1542056 0.2637099 0.4743935 0.05765871
## Contig_1615142_46 Contig_1616857_128 Contig_1618660_5 Contig_1618678_19
## ORN 0.0000000 0.3250000 0.0000000 0.0000000
## ID 0.2684211 0.2467532 0.4545455 0.3679654
## ORS 0.0000000 0.4395604 0.4395604 0.0000000
## CA 0.0000000 0.5079365 0.5012821 0.0000000
## WY 0.1393274 0.3090746 0.3302271 0.1280361
## Contig_1618980_57 Contig_1619442_4 Contig_1619708_7 Contig_1620496_26
## ORN 0.52500000 0.4285714 0.5384615 0.4666667
## ID 0.17316017 0.1894737 0.5238095 0.1894737
## ORS 0.00000000 0.5228758 0.5294118 0.3555556
## CA 0.34494774 0.5007112 0.5110337 0.4746032
## WY 0.06196825 0.1813953 0.5047022 0.1338481
## Contig_1621019_25 Contig_1622091_69 Contig_1622131_60 Contig_1622727_26
## ORN 0.5274725 0.00000000 0.5384615 0.2000000
## ID 0.5194805 0.00000000 0.1731602 0.5210526
## ORS 0.4395604 0.12500000 0.2091503 0.3626374
## CA 0.0974359 0.39829303 0.0000000 0.4307692
## WY 0.4491228 0.06498599 0.1023166 0.3368185
## Contig_1622788_95 Contig_1626120_67 Contig_1626265_41 Contig_1627256_129
## ORN 0.1428571 0.0000000 0.12500000 0.0000000
## ID 0.4155844 0.3116883 0.31168831 0.4545455
## ORS 0.1250000 0.2091503 0.12500000 0.0000000
## CA 0.3086771 0.0000000 0.00000000 0.0000000
## WY 0.2644678 0.2487324 0.06605824 0.2208738
## Contig_1628541_51 Contig_1628728_84 Contig_1630134_31 Contig_1630954_89
## ORN 0.4583333 0.0000000 0.4583333 0.40000000
## ID 0.1000000 0.0000000 0.5194805 0.00000000
## ORS 0.1111111 0.2091503 0.4248366 0.12500000
## CA 0.5007112 0.5126984 0.4089744 0.17540323
## WY 0.1298748 0.0000000 0.4822629 0.06102362
## Contig_1631238_129 Contig_1631646_76 Contig_1632967_49 Contig_1633075_50
## ORN 0.36263736 0.4090909 0.0000000 0.1250000
## ID 0.09090909 0.0000000 0.0000000 0.1731602
## ORS 0.23333333 0.2637363 0.3250000 0.0000000
## CA 0.44381223 0.3145161 0.3576923 0.0000000
## WY 0.00000000 0.0000000 0.1361134 0.4095238
## Contig_1634166_32 Contig_1635782_25 Contig_1635806_37 Contig_1636030_69
## ORN 0.2637363 0.0000000 0.5274725 0.2333333
## ID 0.3116883 0.0000000 0.4155844 0.4155844
## ORS 0.0000000 0.3660131 0.0000000 0.1111111
## CA 0.0000000 0.3449477 0.2961538 0.2410148
## WY 0.2251201 0.0000000 0.3351515 0.2305543
## Contig_1636118_63 Contig_1637514_29 Contig_1637862_7 Contig_1638150_18
## ORN 0.3250000 0.2637363 0.5303030 0.0000000
## ID 0.3116883 0.0000000 0.2684211 0.0000000
## ORS 0.4000000 0.0000000 0.0000000 0.2091503
## CA 0.3086771 0.2615385 0.2258065 0.4666667
## WY 0.3850763 0.1900326 0.2061240 0.0000000
## Contig_1638746_89 Contig_1639382_34 Contig_1639666_120 Contig_1639916_45
## ORN 0.0000000 0.26373626 0.00000000 0.1428571
## ID 0.3116883 0.24675325 0.00000000 0.3679654
## ORS 0.3660131 0.36601307 0.36601307 0.0000000
## CA 0.2148664 0.09291521 0.38461538 0.0000000
## WY 0.2687675 0.13611343 0.06010733 0.2376981
## Contig_1640154_23 Contig_1641395_70 Contig_1641399_108 Contig_1641557_47
## ORN 0.5000000 0.40909091 0.00000000 0.1250000
## ID 0.5064935 0.31168831 0.09090909 0.1894737
## ORS 0.4705882 0.49450549 0.32500000 0.5250000
## CA 0.3982930 0.05555556 0.32222222 0.1423077
## WY 0.3572063 0.41595960 0.00000000 0.2599175
## Contig_1645615_22 Contig_1646836_69 Contig_1647928_17 Contig_1650862_92
## ORN 0.5333333 0.5333333 0.1428571 0.3250000
## ID 0.5210526 0.5052632 0.5064935 0.4155844
## ORS 0.3660131 0.5228758 0.2091503 0.2091503
## CA 0.4888889 0.4181185 0.0500000 0.1358885
## WY 0.4512939 0.3597169 0.3493143 0.2176029
## Contig_1652399_63 Contig_1653630_31 Contig_1653742_6 Contig_1654579_38
## ORN 0.3555556 0.0000000 0.26373626 0.1428571
## ID 0.0000000 0.1000000 0.00000000 0.5032680
## ORS 0.0000000 0.1111111 0.20915033 0.0000000
## CA 0.3707665 0.4779516 0.17653891 0.1423077
## WY 0.0000000 0.0000000 0.04685714 0.4238532
## Contig_1655951_111 Contig_1656391_96 Contig_1658885_94 Contig_1660107_36
## ORN 0.0000000 0.0000000 0.0000000 0.23333333
## ID 0.1731602 0.1731602 0.0000000 0.41558442
## ORS 0.1250000 0.0000000 0.3626374 0.29411765
## CA 0.4936121 0.0000000 0.2845528 0.04761905
## WY 0.0000000 0.1951761 0.0000000 0.36960784
## Contig_1660325_87 Contig_1660933_47 Contig_1661081_90 Contig_1662053_93
## ORN 0.4583333 0.2333333 0.2333333 0.00000000
## ID 0.4155844 0.3679654 0.4848485 0.17316017
## ORS 0.3660131 0.0000000 0.4945055 0.52941176
## CA 0.2584670 0.0000000 0.5000000 0.05263158
## WY 0.2616050 0.1750172 0.5031740 0.03053071
## Contig_1662428_131 Contig_1663538_34 Contig_1663978_30 Contig_1664022_41
## ORN 0.0000000 0.5303030 0.4395604 0.0000000
## ID 0.5238095 0.3116883 0.3116883 0.1111111
## ORS 0.0000000 0.5250000 0.5228758 0.0000000
## CA 0.0000000 0.4947146 0.3716609 0.0000000
## WY 0.2942565 0.1977124 0.2334432 0.1818182
## Contig_1665232_15 Contig_1665525_47 Contig_1666544_5 Contig_1669134_63
## ORN 0.1250000 0.2637363 0.200000 0.5384615
## ID 0.4848485 0.1731602 0.000000 0.3679654
## ORS 0.2333333 0.0000000 0.000000 0.4666667
## CA 0.0000000 0.0000000 0.486631 0.4571429
## WY 0.5007868 0.1688730 0.000000 0.2140930
## Contig_1673223_91 Contig_1673996_81 Contig_1675552_15 Contig_1675583_75
## ORN 0.14285714 0.2333333 0.5384615 0.0000000
## ID 0.09090909 0.4545455 0.5194805 0.4421053
## ORS 0.14285714 0.4248366 0.3555556 0.0000000
## CA 0.39829303 0.2737844 0.5017422 0.0500000
## WY 0.00000000 0.3367974 0.5032680 0.4956727
## Contig_1675872_84 Contig_1676847_72 Contig_1677256_14 Contig_1679011_86
## ORN 0.0000000 0.26373626 0.1250000 0.5250000
## ID 0.4155844 0.45454545 0.0000000 0.5052632
## ORS 0.5000000 0.20915033 0.0000000 0.3250000
## CA 0.2961538 0.04761905 0.0000000 0.0974359
## WY 0.5035971 0.42867420 0.1606349 0.5045389
## Contig_1679140_17 Contig_1679262_24 Contig_1679982_80 Contig_1681099_59
## ORN 0.12500000 0.5274725 0.0000000 0.53030303
## ID 0.00000000 0.3116883 0.0000000 0.00000000
## ORS 0.36601307 0.2091503 0.4705882 0.36263736
## CA 0.20613108 0.3555556 0.5076923 0.47038328
## WY 0.03305322 0.2143981 0.0000000 0.03477721
## Contig_1681507_78 Contig_1682039_24 Contig_1682979_27 Contig_1683570_62
## ORN 0.32500000 0.3250000 0.36263736 0.0000000
## ID 0.09090909 0.0000000 0.09090909 0.1731602
## ORS 0.52500000 0.0000000 0.20915033 0.1111111
## CA 0.04761905 0.5141129 0.37126600 0.0000000
## WY 0.12624846 0.0000000 0.01492537 0.1900326
## Contig_1684352_64 Contig_1685902_102 Contig_1685937_24 Contig_1685975_47
## ORN 0.1250000 0.45833333 0.14285714 0.5384615
## ID 0.4848485 0.09090909 0.09090909 0.5238095
## ORS 0.2091503 0.00000000 0.53333333 0.4000000
## CA 0.4307692 0.00000000 0.45528455 0.1571429
## WY 0.4065464 0.27656732 0.01562500 0.3274489
## Contig_1686591_119 Contig_1687757_4 Contig_1688289_35 Contig_1692461_55
## ORN 0.00000000 0.5000000 0.0000000 0.5000000
## ID 0.09090909 0.3368421 0.4789474 0.3116883
## ORS 0.29411765 0.4395604 0.0000000 0.4705882
## CA 0.00000000 0.3960511 0.2994652 0.5012821
## WY 0.10408674 0.3136669 0.2970350 0.2765122
## Contig_1692827_25 Contig_1696088_56 Contig_1696715_72 Contig_1696819_4
## ORN 0.0000000 0.0000000 0.4395604 0.4395604
## ID 0.2467532 0.3679654 0.3116883 0.2684211
## ORS 0.1111111 0.2091503 0.4705882 0.0000000
## CA 0.0000000 0.2731152 0.3982930 0.5000000
## WY 0.2492532 0.2210526 0.1540616 0.3489097
## Contig_1700399_30 Contig_1700500_20 Contig_1700822_130 Contig_1701071_71
## ORN 0.49450549 0.40000000 0.26373626 0.2333333
## ID 0.24675325 0.00000000 0.00000000 0.2467532
## ORS 0.49450549 0.29411765 0.00000000 0.2637363
## CA 0.38461538 0.15714286 0.47058824 0.5076923
## WY 0.04836743 0.04997827 0.03882741 0.2562343
## Contig_1701316_38 Contig_1702936_38 Contig_1705127_117 Contig_1706267_52
## ORN 0.4395604 0.4945055 0.1250000 0.5384615
## ID 0.5194805 0.2467532 0.0000000 0.5210526
## ORS 0.2333333 0.4248366 0.2091503 0.4583333
## CA 0.3960511 0.3960511 0.4439746 0.5073996
## WY 0.4027606 0.2839345 0.0000000 0.4946695
## Contig_1710048_30 Contig_1710273_8 Contig_1711007_92 Contig_1713243_107
## ORN 0.00000000 0.0000000 0.4395604 0.00000000
## ID 0.00000000 0.3947368 0.4545455 0.10000000
## ORS 0.42483660 0.0000000 0.4705882 0.00000000
## CA 0.49075391 0.0000000 0.5120910 0.17653891
## WY 0.01515152 0.4532063 0.4995222 0.09895052
## Contig_1714109_35 Contig_1714972_66 Contig_1718605_71 Contig_1718914_21
## ORN 0.0000000 0.4945055 0.1666667 0.0000000
## ID 0.0000000 0.1731602 0.5064935 0.0000000
## ORS 0.4395604 0.4945055 0.2333333 0.1111111
## CA 0.2845528 0.4500000 0.1846154 0.3329810
## WY 0.0000000 0.0997807 0.4468085 0.0000000
## Contig_1720053_49 Contig_1720232_130 Contig_1720534_15 Contig_1720992_72
## ORN 0.1250000 0.42857143 0.2333333 0.54545455
## ID 0.0000000 0.00000000 0.4848485 0.09090909
## ORS 0.1111111 0.36263736 0.5274725 0.00000000
## CA 0.0974359 0.32222222 0.4089744 0.00000000
## WY 0.1494886 0.08053221 0.4578161 0.10739575
## Contig_1723183_71 Contig_1723989_112 Contig_1727642_84 Contig_1729947_128
## ORN 0.4945055 0.5250000 0.5333333 0.3555556
## ID 0.5194805 0.3679654 0.5238095 0.4705882
## ORS 0.4248366 0.5032680 0.5294118 0.5303030
## CA 0.3716609 0.4746032 0.5121951 0.3555556
## WY 0.4840336 0.2644678 0.5042017 0.4492292
## Contig_1731637_80 Contig_1731697_110 Contig_1731729_118 Contig_1732032_53
## ORN 0.1250000 0.4090909 0.5250000 0.1250000
## ID 0.4848485 0.0000000 0.5238095 0.3116883
## ORS 0.3660131 0.4395604 0.2333333 0.0000000
## CA 0.0000000 0.1862069 0.4089744 0.0000000
## WY 0.4925257 0.1147351 0.4301120 0.1836454
## Contig_1732633_8 Contig_1733879_104 Contig_1735305_40 Contig_1736202_5
## ORN 0.0000000 0.5454545 0.1428571 0.0000000
## ID 0.1000000 0.4155844 0.0000000 0.2467532
## ORS 0.0000000 0.3555556 0.0000000 0.0000000
## CA 0.0000000 0.5120910 0.4746032 0.0000000
## WY 0.1606349 0.4602357 0.0000000 0.4175439
## Contig_1737041_26 Contig_1737758_42 Contig_1737760_92 Contig_1739428_80
## ORN 0.5384615 0.2500000 0.12500000 0.2637363
## ID 0.5238095 0.0000000 0.00000000 0.1894737
## ORS 0.5333333 0.0000000 0.23333333 0.2091503
## CA 0.5135135 0.1691332 0.26153846 0.3159117
## WY 0.5043478 0.1558286 0.03539254 0.1384562
## Contig_1739496_35 Contig_1740313_75 Contig_1741173_31 Contig_1742467_49
## ORN 0.5274725 0.0000000 0.4395604 0.3030303
## ID 0.3368421 0.1000000 0.1894737 0.5064935
## ORS 0.5250000 0.1111111 0.5384615 0.0000000
## CA 0.4010695 0.3159117 0.4779516 0.0000000
## WY 0.3559322 0.1125598 0.2501967 0.5033989
## Contig_1743569_10 Contig_1743954_42 Contig_1744865_101 Contig_1745981_38
## ORN 0.1250000 0.4000000 0.2333333 0.2637363
## ID 0.4421053 0.3368421 0.4545455 0.3116883
## ORS 0.4395604 0.3660131 0.2941176 0.2333333
## CA 0.0000000 0.1079365 0.5012821 0.0974359
## WY 0.4029985 0.4106447 0.2994738 0.3465160
## Contig_1747154_28 Contig_1749510_13 Contig_1750858_50 Contig_1755254_51
## ORN 0.53333333 0.4000000 0.1428571 0.0000000
## ID 0.00000000 0.5064935 0.5032680 0.3679654
## ORS 0.40000000 0.5250000 0.4000000 0.0000000
## CA 0.25087108 0.4746032 0.1079365 0.0000000
## WY 0.08070175 0.4175439 0.2204724 0.1018074
## Contig_1757388_80 Contig_1758654_94 Contig_1758844_21 Contig_1759169_20
## ORN 0.0000000 0.00000000 0.4000000 0.0000000
## ID 0.3679654 0.32500000 0.5064935 0.1731602
## ORS 0.2091503 0.14285714 0.5228758 0.0000000
## CA 0.3449477 0.40106952 0.4779516 0.0000000
## WY 0.3621328 0.07566437 0.4910759 0.2581587
## Contig_1759747_88 Contig_1760854_83 Contig_1760960_90 Contig_1761898_24
## ORN 0.49450549 0.0000000 0.36263736 0.4395604
## ID 0.17316017 0.0000000 0.09090909 0.3947368
## ORS 0.00000000 0.1111111 0.47058824 0.3626374
## CA 0.29946524 0.4623044 0.37166086 0.2731152
## WY 0.03808813 0.0000000 0.08757298 0.4837209
## Contig_1763107_4 Contig_1765185_29 Contig_1766580_69 Contig_1768139_94
## ORN 0.4945055 0.00000000 0.3030303 0.5000000
## ID 0.4848485 0.09090909 0.5194805 0.5228758
## ORS 0.2637363 0.50000000 0.5228758 0.5274725
## CA 0.1571429 0.00000000 0.2460317 0.4552846
## WY 0.5018443 0.09978070 0.4906542 0.4952381
## Contig_1770160_120 Contig_1770627_35 Contig_1771297_84 Contig_1771506_116
## ORN 0.4945055 0.1250000 0.5250000 0.0000000
## ID 0.4545455 0.3116883 0.5194805 0.3116883
## ORS 0.4395604 0.4248366 0.1250000 0.0000000
## CA 0.3576923 0.4866310 0.0000000 0.0000000
## WY 0.4977778 0.1542056 0.4073902 0.2038503
## Contig_1773405_40 Contig_1775571_44 Contig_1776934_70 Contig_1777189_38
## ORN 0.0000000 0.5274725 0.3626374 0.5333333
## ID 0.3679654 0.5210526 0.2467532 0.5194805
## ORS 0.2941176 0.2941176 0.5384615 0.4000000
## CA 0.0000000 0.5012821 0.4365079 0.5078236
## WY 0.3657143 0.4937143 0.3207547 0.5019407
## Contig_1778081_34 Contig_1779341_32 Contig_1779566_129 Contig_1781539_43
## ORN 0.4090909 0.0000000 0.0000000 0.1250000
## ID 0.5064935 0.5194805 0.3679654 0.3116883
## ORS 0.4945055 0.0000000 0.1111111 0.0000000
## CA 0.4552846 0.2508711 0.2508711 0.1024182
## WY 0.4991597 0.3330715 0.1073958 0.3657143
## Contig_1783718_5 Contig_1784576_26 Contig_1785958_80 Contig_1786775_24
## ORN 0.2637363 0.52747253 0.0000000 0.0000000
## ID 0.2467532 0.51948052 0.1731602 0.1731602
## ORS 0.5032680 0.36263736 0.4248366 0.0000000
## CA 0.2061311 0.05555556 0.0000000 0.0974359
## WY 0.4085526 0.45283019 0.1624927 0.1481191
## Contig_1786828_32 Contig_1787746_114 Contig_1789761_81 Contig_1790661_9
## ORN 0.0000000 0.40000000 0.4395604 0.12500000
## ID 0.1000000 0.09090909 0.0000000 0.00000000
## ORS 0.0000000 0.20915033 0.0000000 0.45833333
## CA 0.3576923 0.00000000 0.0000000 0.13002114
## WY 0.0000000 0.23055426 0.1107843 0.07238245
## Contig_1800563_112 Contig_1802615_8 Contig_1804073_68 Contig_1805050_88
## ORN 0.36263736 0.00000000 0.00000000 0.16666667
## ID 0.09090909 0.00000000 0.00000000 0.09090909
## ORS 0.32500000 0.12500000 0.11111111 0.29411765
## CA 0.37126600 0.47357294 0.22435897 0.27311522
## WY 0.07072560 0.01886792 0.07925755 0.17501716
## Contig_1807348_90 Contig_1807838_62 Contig_1811990_12 Contig_1812400_119
## ORN 0.26373626 0.3626374 0.5274725 0.26373626
## ID 0.00000000 0.2467532 0.4155844 0.09090909
## ORS 0.53030303 0.4395604 0.3250000 0.00000000
## CA 0.51269841 0.3707665 0.5079365 0.28455285
## WY 0.01724138 0.2492532 0.1477838 0.01886792
## Contig_1814537_55 Contig_1815356_116 Contig_1817104_38 Contig_1818264_34
## ORN 0.00000000 0.53333333 0.5333333 0.4090909
## ID 0.24675325 0.10000000 0.1731602 0.0000000
## ORS 0.00000000 0.49450549 0.5294118 0.4395604
## CA 0.38571429 0.25087108 0.2731152 0.2961538
## WY 0.05552561 0.08378293 0.2391769 0.2143981
## Contig_1818876_14 Contig_1820059_81 Contig_1821886_77 Contig_1825049_90
## ORN 0.0000000 0.2637363 0.4000000 0.30303030
## ID 0.2684211 0.0000000 0.5210526 0.52287582
## ORS 0.3626374 0.4705882 0.0000000 0.50326797
## CA 0.0000000 0.5007112 0.1423077 0.05263158
## WY 0.1731634 0.0000000 0.5041075 0.49829290
## Contig_1825506_58 Contig_1826133_31 Contig_1828449_126 Contig_1829941_21
## ORN 0.3626374 0.52747253 0.4395604 0.2637363
## ID 0.4155844 0.00000000 0.5064935 0.1731602
## ORS 0.3250000 0.00000000 0.3660131 0.4248366
## CA 0.1571429 0.14935989 0.5012821 0.1493599
## WY 0.4109882 0.04039554 0.3740012 0.3440038
## Contig_1830087_35 Contig_1830242_47 Contig_1831172_30 Contig_1833880_102
## ORN 0.2637363 0.5250000 0.0000000 0.43956044
## ID 0.4155844 0.5263158 0.1000000 0.09090909
## ORS 0.5274725 0.4583333 0.0000000 0.40000000
## CA 0.5075494 0.5000000 0.1934566 0.17653891
## WY 0.4342105 0.4867449 0.2607562 0.01886792
## Contig_1834691_82 Contig_1835202_96 Contig_1835371_9 Contig_1835678_86
## ORN 0.4945055 0.2333333 0.1428571 0.5333333
## ID 0.4848485 0.0000000 0.2684211 0.5238095
## ORS 0.4248366 0.1250000 0.0000000 0.5333333
## CA 0.3086771 0.5007112 0.0000000 0.5121951
## WY 0.5049442 0.0624571 0.1357199 0.5042735
## Contig_1836528_70 Contig_1837234_42 Contig_1838338_87 Contig_1838770_74
## ORN 0.0000000 0.5274725 0.5274725 0.0000000
## ID 0.3116883 0.2467532 0.5238095 0.0000000
## ORS 0.5384615 0.0000000 0.5294118 0.1250000
## CA 0.4224751 0.2737844 0.5126984 0.0000000
## WY 0.2607562 0.3059539 0.4939116 0.2128524
## Contig_1840610_58 Contig_1841141_51 Contig_1841661_48 Contig_1842533_53
## ORN 0.3250000 0.2333333 0.5250000 0.4395604
## ID 0.3116883 0.5064935 0.4848485 0.5210526
## ORS 0.5032680 0.5000000 0.5032680 0.4248366
## CA 0.4260042 0.1300211 0.4666667 0.2460317
## WY 0.2103420 0.4887975 0.4359571 0.3682018
## Contig_1842604_51 Contig_1843470_122 Contig_1845550_19 Contig_1845654_32
## ORN 0.12500000 0.5384615 0.3030303 0.2637363
## ID 0.09090909 0.5210526 0.1731602 0.3679654
## ORS 0.00000000 0.4583333 0.1250000 0.4000000
## CA 0.10241821 0.4866310 0.0000000 0.3368984
## WY 0.09579832 0.4822629 0.2474227 0.2277605
## Contig_1846329_78 Contig_1848301_50 Contig_1848538_52 Contig_1850066_53
## ORN 0.4945055 0.1250000 0.14285714 0.4395604
## ID 0.0000000 0.0000000 0.00000000 0.1731602
## ORS 0.3660131 0.5032680 0.45833333 0.4945055
## CA 0.4923077 0.4010695 0.51612903 0.5076923
## WY 0.2038503 0.0000000 0.01960784 0.2452830
## Contig_1851226_11 Contig_1851420_129 Contig_1854655_19 Contig_1856930_87
## ORN 0.30303030 0.5250000 0.5384615 0.5303030
## ID 0.10000000 0.5194805 0.5263158 0.1111111
## ORS 0.49450549 0.5000000 0.5294118 0.4395604
## CA 0.50128205 0.4623044 0.5116279 0.3982930
## WY 0.01449275 0.4292812 0.5034943 0.4149977
## Contig_1857367_7 Contig_1859143_103 Contig_1860664_46 Contig_1861998_84
## ORN 0.2333333 0.5274725 0.4000000 0.0000000
## ID 0.2684211 0.3679654 0.0000000 0.1731602
## ORS 0.0000000 0.4945055 0.2941176 0.0000000
## CA 0.0500000 0.2061311 0.2243590 0.0000000
## WY 0.4405980 0.2061240 0.0000000 0.2172507
## Contig_1862562_19 Contig_1863755_92 Contig_1865156_40 Contig_1867088_61
## ORN 0.5357143 0.43956044 0.00000000 0.00000000
## ID 0.2684211 0.09090909 0.09090909 0.00000000
## ORS 0.5250000 0.49450549 0.12500000 0.20915033
## CA 0.4181185 0.39829303 0.43650794 0.42600423
## WY 0.4012579 0.16545455 0.00000000 0.03007171
## Contig_1868235_85 Contig_1868421_24 Contig_1868750_56 Contig_1872478_38
## ORN 0.1428571 0.3626374 0.43956044 0.5274725
## ID 0.3116883 0.4155844 0.29411765 0.3116883
## ORS 0.3250000 0.3250000 0.52287582 0.2637363
## CA 0.5075494 0.4126984 0.04761905 0.3555556
## WY 0.2808989 0.2137418 0.22611612 0.3979136
## Contig_1873424_70 Contig_1874545_90 Contig_1874570_86 Contig_1877943_9
## ORN 0.32500000 0.5274725 0.5274725 0.0000000
## ID 0.17316017 0.1731602 0.4545455 0.1111111
## ORS 0.23333333 0.4248366 0.5250000 0.5250000
## CA 0.09743590 0.5135135 0.4438122 0.3712660
## WY 0.05082459 0.2091503 0.4395960 0.1315152
## Contig_1877981_4 Contig_1878835_25 Contig_1878990_26 Contig_1879030_78
## ORN 0.50000000 0.16666667 0.23333333 0.3626374
## ID 0.09090909 0.09090909 0.00000000 0.1000000
## ORS 0.32500000 0.00000000 0.45833333 0.5274725
## CA 0.44397463 0.35769231 0.40897436 0.3145161
## WY 0.10577778 0.00000000 0.06010733 0.2398801
## Contig_1879656_113 Contig_1881030_39 Contig_1885767_39 Contig_1888024_105
## ORN 0.0000000 0.0000000 0.2637363 0.2333333
## ID 0.4155844 0.1731602 0.3116883 0.5238095
## ORS 0.2941176 0.0000000 0.2333333 0.1111111
## CA 0.0000000 0.0000000 0.0000000 0.4059197
## WY 0.1885965 0.3577778 0.3029665 0.4959569
## Contig_1890661_43 Contig_1890826_72 Contig_1893635_36 Contig_1893770_125
## ORN 0.12500000 0.3250000 0.00000000 0.00000000
## ID 0.41558442 0.4155844 0.00000000 0.29411765
## ORS 0.11111111 0.5032680 0.42483660 0.20000000
## CA 0.04545455 0.4779516 0.34139403 0.09291521
## WY 0.46689963 0.4918491 0.09284028 0.12910115
## Contig_1894894_13 Contig_1898347_127 Contig_1898875_13 Contig_1899862_4
## ORN 0.0000000 0.1250000 0.3250000 0.0000000
## ID 0.1731602 0.2467532 0.5263158 0.2467532
## ORS 0.0000000 0.4000000 0.5032680 0.0000000
## CA 0.5078236 0.5110337 0.4181185 0.0500000
## WY 0.3045867 0.2204724 0.5053683 0.1842677
## Contig_1900223_59 Contig_1901206_114 Contig_1901724_24 Contig_1902348_44
## ORN 0.4395604 0.0000000 0.26373626 0.3626374
## ID 0.3116883 0.0000000 0.17316017 0.5052632
## ORS 0.0000000 0.4248366 0.32500000 0.0000000
## CA 0.0000000 0.3857143 0.08879493 0.5007112
## WY 0.2013465 0.0000000 0.07566437 0.4118404
## Contig_1903192_61 Contig_1904454_30 Contig_1907023_63 Contig_1907742_93
## ORN 0.3626374 0.0000000 0.30303030 0.00000000
## ID 0.3679654 0.0000000 0.09090909 0.17316017
## ORS 0.5294118 0.4000000 0.43956044 0.00000000
## CA 0.3086771 0.4509804 0.00000000 0.04545455
## WY 0.1815126 0.0000000 0.07610173 0.25479823
## Contig_1908573_108 Contig_1912000_60 Contig_1912408_47 Contig_1913646_28
## ORN 0.52500000 0.5274725 0.0000000 0.0000000
## ID 0.09090909 0.0000000 0.4155844 0.3368421
## ORS 0.20915033 0.4000000 0.1111111 0.1250000
## CA 0.10793651 0.0000000 0.0000000 0.0500000
## WY 0.02127660 0.0212766 0.3466667 0.1943312
## Contig_1914104_44 Contig_1914227_16 Contig_1914435_112 Contig_1916119_94
## ORN 0.5274725 0.5333333 0.1428571 0.5454545
## ID 0.5064935 0.5238095 0.5194805 0.5228758
## ORS 0.2941176 0.5250000 0.0000000 0.5384615
## CA 0.2410148 0.5110337 0.0000000 0.5142857
## WY 0.2313725 0.5042424 0.4998413 0.4842702
## Contig_1918493_21 Contig_1918979_23 Contig_1921498_30 Contig_1922221_17
## ORN 0.4848485 0.1250000 0.4395604 0.0000000
## ID 0.4848485 0.1894737 0.3679654 0.4848485
## ORS 0.4248366 0.0000000 0.4248366 0.1111111
## CA 0.4260042 0.1358885 0.2615385 0.0000000
## WY 0.3739331 0.3857037 0.2671326 0.3836148
## Contig_1922763_59 Contig_1923920_13 Contig_1924385_67 Contig_1924843_101
## ORN 0.3250000 0.0000000 0.1666667 0.3030303
## ID 0.2467532 0.0000000 0.5032680 0.0000000
## ORS 0.0000000 0.3250000 0.0000000 0.4705882
## CA 0.0974359 0.4181185 0.0000000 0.3145161
## WY 0.1254902 0.0000000 0.4928571 0.1786061
## Contig_1929246_105 Contig_1929640_90 Contig_1930493_62 Contig_1931159_61
## ORN 0.1428571 0.3030303 0.3250000 0.12500000
## ID 0.0000000 0.3116883 0.0000000 0.00000000
## ORS 0.2333333 0.1428571 0.4583333 0.36601307
## CA 0.5080645 0.4623044 0.4907539 0.49075391
## WY 0.2096680 0.1818182 0.2174502 0.06716642
## Contig_1931463_119 Contig_1931622_15 Contig_1931657_82 Contig_1931957_71
## ORN 0.0000000 0.5274725 0.48484848 0.00000000
## ID 0.1894737 0.5194805 0.17316017 0.24675325
## ORS 0.0000000 0.5333333 0.52747253 0.43956044
## CA 0.0000000 0.4991087 0.44381223 0.04761905
## WY 0.3353517 0.4523810 0.05552561 0.39439776
## Contig_1933993_108 Contig_1937518_12 Contig_1940824_48 Contig_1940831_34
## ORN 0.5454545 0.1428571 0.0000000 0.0000000
## ID 0.4789474 0.0000000 0.2467532 0.1731602
## ORS 0.4395604 0.2091503 0.0000000 0.4248366
## CA 0.3086771 0.5133690 0.0000000 0.0000000
## WY 0.4595960 0.0000000 0.1921757 0.1731634
## Contig_1941019_74 Contig_1943175_121 Contig_1944741_46 Contig_1944875_131
## ORN 0.12500000 0.5274725 0.00000000 0.0000000
## ID 0.00000000 0.4545455 0.09090909 0.0000000
## ORS 0.40000000 0.3030303 0.00000000 0.2333333
## CA 0.48663102 0.3716609 0.00000000 0.4923077
## WY 0.04039554 0.3019608 0.19975031 0.0000000
## Contig_1945466_33 Contig_1947943_78 Contig_1948192_112 Contig_1949184_10
## ORN 0.1250000 0.3626374 0.4395604 0.0000000
## ID 0.3947368 0.3947368 0.0000000 0.4545455
## ORS 0.0000000 0.2637363 0.4583333 0.1250000
## CA 0.0000000 0.4923077 0.3712660 0.0000000
## WY 0.4085526 0.3938565 0.2085384 0.3416812
## Contig_1950961_131 Contig_1951708_63 Contig_1952402_82 Contig_1954050_24
## ORN 0.2333333 0.0000000 0.0000000 0.5454545
## ID 0.0000000 0.1000000 0.2467532 0.5210526
## ORS 0.2091503 0.4000000 0.1250000 0.5228758
## CA 0.2961538 0.5172414 0.0000000 0.5110337
## WY 0.0000000 0.0000000 0.1393274 0.5038038
## Contig_1957538_7 Contig_1961495_71 Contig_1962830_51 Contig_1963190_64
## ORN 0.0000000 0.43956044 0.00000000 0.5250000
## ID 0.0000000 0.44210526 0.09090909 0.3116883
## ORS 0.0000000 0.12500000 0.45833333 0.4248366
## CA 0.4979839 0.05263158 0.05882353 0.4500000
## WY 0.1097834 0.38722651 0.29353524 0.2088767
## Contig_1964175_15 Contig_1965653_11 Contig_1965657_94 Contig_1965801_39
## ORN 0.000000 0.40000000 0.1428571 0.4583333
## ID 0.000000 0.50326797 0.3679654 0.5194805
## ORS 0.000000 0.00000000 0.0000000 0.4583333
## CA 0.000000 0.05263158 0.0000000 0.1765389
## WY 0.168873 0.34544325 0.1018074 0.3646949
## Contig_1971611_83 Contig_1973516_65 Contig_1973539_40 Contig_1973672_101
## ORN 0.00000000 0.00000000 0.00000000 0.1428571
## ID 0.41558442 0.09090909 0.09090909 0.1894737
## ORS 0.36601307 0.36601307 0.00000000 0.2091503
## CA 0.04761905 0.47038328 0.00000000 0.0000000
## WY 0.37381151 0.00000000 0.22072072 0.1012029
## Contig_1975234_18 Contig_1976632_51 Contig_1977957_90 Contig_1980072_98
## ORN 0.4945055 0.5000000 0.00000000 0.5250000
## ID 0.5032680 0.4848485 0.24675325 0.4848485
## ORS 0.5274725 0.5294118 0.47058824 0.4705882
## CA 0.5135135 0.2139037 0.00000000 0.3716609
## WY 0.4995079 0.3629287 0.05996213 0.4131390
## Contig_1980535_34 Contig_1980593_9 Contig_1980787_62 Contig_1981035_124
## ORN 0.3626374 0.4090909 0.0000000 0.0000000
## ID 0.3368421 0.4155844 0.3116883 0.0000000
## ORS 0.0000000 0.2941176 0.1250000 0.4000000
## CA 0.0000000 0.4923077 0.0000000 0.3449477
## WY 0.2137418 0.4966216 0.2353016 0.0000000
## Contig_1984082_48 Contig_1984582_13 Contig_1985474_45 Contig_1986157_50
## ORN 0.4090909 0.40000000 0.3250000 0.4945055
## ID 0.1731602 0.00000000 0.3679654 0.4155844
## ORS 0.4705882 0.11111111 0.5333333 0.5294118
## CA 0.4666667 0.51282051 0.1846154 0.4089744
## WY 0.3406082 0.03007171 0.1354067 0.2468571
## Contig_1988663_92 Contig_1988726_5 Contig_1992794_35 Contig_1993724_28
## ORN 0.0000000 0.0000000 0.4583333 0.0000000
## ID 0.1000000 0.5052632 0.5064935 0.1000000
## ORS 0.4000000 0.0000000 0.0000000 0.0000000
## CA 0.1079365 0.0000000 0.3960511 0.0500000
## WY 0.0746826 0.3857037 0.4601307 0.1788376
## Contig_1999361_17 Contig_2003503_75 Contig_2003505_34 Contig_2005966_6
## ORN 0.43956044 0.4583333 0.5274725 0.5250000
## ID 0.36796537 0.3116883 0.5032680 0.5194805
## ORS 0.20915033 0.4583333 0.4583333 0.5032680
## CA 0.04545455 0.4173387 0.3712660 0.2061311
## WY 0.45566449 0.3478342 0.4879066 0.5007003
## Contig_2006426_12 Contig_2007120_83 Contig_2007290_91 Contig_2008979_9
## ORN 0.5454545 0.5250000 0.0000000 0.0000000
## ID 0.5238095 0.4545455 0.2467532 0.0000000
## ORS 0.5228758 0.5294118 0.3660131 0.4666667
## CA 0.5135135 0.4438122 0.5079365 0.5076923
## WY 0.5018671 0.5044998 0.2991004 0.0000000
## Contig_2010258_24 Contig_2011639_105 Contig_2013176_81 Contig_2013765_41
## ORN 0.0000000 0.4945055 0.3626374 0.4090909
## ID 0.0000000 0.4155844 0.4848485 0.4155844
## ORS 0.1428571 0.5032680 0.4000000 0.4248366
## CA 0.0000000 0.4907539 0.0500000 0.1846154
## WY 0.3368101 0.4519774 0.4862205 0.2340734
## Contig_2016345_74 Contig_2018228_7 Contig_2018775_121 Contig_2024468_23
## ORN 0.00000000 0.4848485 0.14285714 0.5333333
## ID 0.09090909 0.4545455 0.24675325 0.5238095
## ORS 0.29411765 0.4945055 0.00000000 0.5294118
## CA 0.49361208 0.5151515 0.42247511 0.5126984
## WY 0.04346405 0.4928571 0.08606821 0.5054945
## Contig_2025307_64 Contig_2027736_59 Contig_2028098_37 Contig_2030905_9
## ORN 0.0000000 0.3250000 0.0000000 0.5384615
## ID 0.3679654 0.2467532 0.0000000 0.5294118
## ORS 0.0000000 0.2637363 0.5000000 0.5333333
## CA 0.1423077 0.2061311 0.4173387 0.4666667
## WY 0.3302271 0.1280361 0.0000000 0.4785097
## Contig_2034133_26 Contig_2035504_47 Contig_2036286_18 Contig_2037946_25
## ORN 0.4945055 0.3250000 0.12500000 0.0000000
## ID 0.1894737 0.0000000 0.10000000 0.5064935
## ORS 0.2333333 0.4705882 0.00000000 0.1111111
## CA 0.4623044 0.3159117 0.09291521 0.0000000
## WY 0.1765234 0.0000000 0.14671635 0.3736587
## Contig_2040918_69 Contig_2043646_96 Contig_2043853_70 Contig_2045316_42
## ORN 0.00000000 0.1428571 0.0000000 0.36263736
## ID 0.00000000 0.5210526 0.1731602 0.00000000
## ORS 0.40000000 0.0000000 0.0000000 0.16666667
## CA 0.14230769 0.3449477 0.0000000 0.18461538
## WY 0.09734898 0.4364548 0.2421569 0.07910793
## Contig_2048914_98 Contig_2049264_51 Contig_2050093_60 Contig_2050646_49
## ORN 0.14285714 0.4090909 0.1428571 0.36263736
## ID 0.09090909 0.5064935 0.0000000 0.24675325
## ORS 0.47058824 0.5250000 0.4395604 0.43956044
## CA 0.27311522 0.4866310 0.4666667 0.00000000
## WY 0.00000000 0.5028849 0.0200000 0.07566437
## Contig_2051288_23 Contig_2053294_70 Contig_2053382_16 Contig_2053393_7
## ORN 0.0000000 0.0000000 0.2637363 1.0000000
## ID 0.2467532 0.3679654 0.4421053 0.4248366
## ORS 0.1111111 0.5000000 0.4000000 0.5333333
## CA 0.3982930 0.2615385 0.1358885 0.1358885
## WY 0.2527233 0.2523238 0.3383524 0.2204724
## Contig_2055134_65 Contig_2055665_42 Contig_2056293_3 Contig_2057168_130
## ORN 0.3626374 0.2637363 0.23333333 0.00000000
## ID 0.3116883 0.3679654 0.00000000 0.09090909
## ORS 0.4248366 0.2333333 0.00000000 0.00000000
## CA 0.4224751 0.2615385 0.34139403 0.00000000
## WY 0.3282138 0.2297792 0.08757298 0.17860610
## Contig_2057428_33 Contig_2062388_6 Contig_2066610_7 Contig_2071794_122
## ORN 0.5274725 0.5384615 0.5250000 0.1250000
## ID 0.2467532 0.5250000 0.2467532 0.5064935
## ORS 0.5250000 0.5228758 0.2333333 0.2941176
## CA 0.1765389 0.5110337 0.5133690 0.0000000
## WY 0.2884070 0.4968793 0.1696089 0.3938565
## Contig_2073039_82 Contig_2075202_31 Contig_2075354_56 Contig_2075908_97
## ORN 0.5250000 0.00000000 0.4848485 0.1666667
## ID 0.3679654 0.00000000 0.0000000 0.2941176
## ORS 0.4705882 0.43956044 0.2637363 0.3660131
## CA 0.2731152 0.25846702 0.0974359 0.4666667
## WY 0.2801120 0.08757298 0.1788376 0.1910007
## Contig_2077141_35 Contig_2077493_121 Contig_2077522_58 Contig_2078906_132
## ORN 0.00000000 0.4000000 0.0000000 0.5250000
## ID 0.09090909 0.4848485 0.0000000 0.5228758
## ORS 0.42483660 0.3250000 0.1250000 0.5000000
## CA 0.15714286 0.4059197 0.3449477 0.4378630
## WY 0.13402062 0.3906997 0.1558286 0.5030275
## Contig_2080037_91 Contig_2086199_7 Contig_2086296_22 Contig_2087412_25
## ORN 0.4945055 0.40909091 0.43956044 0.2637363
## ID 0.5194805 0.09090909 0.24675325 0.1731602
## ORS 0.4705882 0.00000000 0.20915033 0.0000000
## CA 0.2508711 0.42247511 0.49910873 0.0000000
## WY 0.5027494 0.25175439 0.06716642 0.1921757
## Contig_2087589_36 Contig_2092309_6 Contig_2093102_26 Contig_2093505_77
## ORN 0.5333333 0.00000000 0.4395604 0.43956044
## ID 0.3116883 0.00000000 0.0000000 0.09090909
## ORS 0.5250000 0.12500000 0.4705882 0.47058824
## CA 0.5128205 0.43786295 0.2961538 0.50000000
## WY 0.2911765 0.01587302 0.0000000 0.02040816
## Contig_2094254_15 Contig_2094671_54 Contig_2094925_12 Contig_2095280_113
## ORN 0.0000000 0.4395604 0.4395604 0.0000000
## ID 0.3679654 0.0000000 0.5210526 0.1731602
## ORS 0.1250000 0.1250000 0.2637363 0.2091503
## CA 0.0000000 0.3982930 0.3528226 0.0000000
## WY 0.2293359 0.1384562 0.4443703 0.2261161
## Contig_2095296_70 Contig_2099907_76 Contig_2100389_69 Contig_2101052_40
## ORN 0.6000000 0.0000000 0.1666667 0.5333333
## ID 0.4155844 0.3116883 0.4155844 0.3368421
## ORS 0.5000000 0.0000000 0.4000000 0.4248366
## CA 0.4438122 0.0000000 0.4888889 0.4779516
## WY 0.4528302 0.3478342 0.3285463 0.3185328
## Contig_2101149_121 Contig_2101234_25 Contig_2101561_43 Contig_2104153_47
## ORN 0.16666667 0.4000000 0.4000000 0.1428571
## ID 0.33684211 0.4155844 0.1111111 0.4155844
## ORS 0.00000000 0.1111111 0.3660131 0.3660131
## CA 0.05263158 0.4181185 0.4307692 0.0000000
## WY 0.20704633 0.3402062 0.3100450 0.3843514
## Contig_2104672_69 Contig_2108212_97 Contig_2109979_105 Contig_2115589_34
## ORN 0.5250000 0.3555556 0.0000000 0.00000000
## ID 0.5238095 0.3679654 0.2467532 0.17316017
## ORS 0.5294118 0.5303030 0.0000000 0.50000000
## CA 0.5121951 0.4181185 0.1358885 0.23470839
## WY 0.4987130 0.3860477 0.2203704 0.06196825
## Contig_2116694_52 Contig_2118513_57 Contig_2118903_19 Contig_2119016_64
## ORN 0.00000000 0.00000000 0.0000000 0.0000000
## ID 0.00000000 0.09090909 0.0000000 0.5064935
## ORS 0.23333333 0.00000000 0.0000000 0.1250000
## CA 0.09291521 0.00000000 0.1024182 0.0000000
## WY 0.14599107 0.18605664 0.1317667 0.4354448
## Contig_2119632_47 Contig_2120694_58 Contig_2122662_100 Contig_2123190_15
## ORN 0.14285714 0.12500000 0.0000000 0.2637363
## ID 0.09090909 0.09090909 0.5210526 0.4421053
## ORS 0.00000000 0.00000000 0.1250000 0.5032680
## CA 0.00000000 0.37166086 0.2961538 0.5120910
## WY 0.18426771 0.16542474 0.3950525 0.1877808
## Contig_2125025_18 Contig_2125915_38 Contig_2127471_66 Contig_2127676_30
## ORN 0.0000000 0.5333333 0.00000000 0.4945055
## ID 0.3116883 0.5238095 0.00000000 0.5194805
## ORS 0.0000000 0.5294118 0.53030303 0.2091503
## CA 0.0000000 0.5128205 0.10241821 0.3555556
## WY 0.2644678 0.5019557 0.07910793 0.5017159
## Contig_2127690_42 Contig_2128371_35 Contig_2129586_123 Contig_2130612_105
## ORN 0.0000000 0.0000000 0.00000000 0.2333333
## ID 0.0000000 0.2091503 0.09090909 0.1731602
## ORS 0.3660131 0.1250000 0.12500000 0.0000000
## CA 0.0000000 0.1423077 0.38571429 0.0000000
## WY 0.1865397 0.2096680 0.00000000 0.3545752
## Contig_2133182_84 Contig_2135823_27 Contig_2137528_94 Contig_2140730_53
## ORN 0.0000000 0.0000000 0.0000000 0.50000000
## ID 0.3679654 0.2684211 0.3368421 0.09090909
## ORS 0.0000000 0.0000000 0.0000000 0.32500000
## CA 0.0974359 0.0000000 0.0000000 0.14935989
## WY 0.3454433 0.1787323 0.1291011 0.00000000
## Contig_2142167_3 Contig_2144772_115 Contig_2148038_25 Contig_2149277_54
## ORN 0.53846154 0.00000000 0.0000000 0.5274725
## ID 0.09090909 0.41558442 0.0000000 0.3116883
## ORS 0.00000000 0.20915033 0.0000000 0.4000000
## CA 0.46376812 0.08879493 0.5007112 0.5012821
## WY 0.22072072 0.31652905 0.0000000 0.3229358
## Contig_2155570_59 Contig_2158678_89 Contig_2166998_117 Contig_2167255_28
## ORN 0.3555556 0.4583333 0.2000000 0.0000000
## ID 0.5194805 0.5194805 0.3250000 0.0000000
## ORS 0.4395604 0.3250000 0.0000000 0.0000000
## CA 0.3555556 0.4746032 0.0974359 0.4779516
## WY 0.4502249 0.4970015 0.3090746 0.0000000
## Contig_2168884_103 Contig_2175021_116 Contig_2175466_41 Contig_2175565_7
## ORN 0.00000000 0.1428571 0.0000000 0.30303030
## ID 0.09090909 0.3368421 0.0000000 0.10000000
## ORS 0.00000000 0.0000000 0.0000000 0.53333333
## CA 0.00000000 0.0000000 0.4260042 0.45714286
## WY 0.19481793 0.2956305 0.0000000 0.01960784
## Contig_2175746_5 Contig_2176129_92 Contig_2177880_122 Contig_2178375_34
## ORN 0.1428571 0.25000000 0.2333333 0.0000000
## ID 0.4248366 0.12500000 0.1894737 0.2684211
## ORS 0.2091503 0.00000000 0.1111111 0.2091503
## CA 0.0000000 0.04545455 0.0000000 0.0000000
## WY 0.2321604 0.16146561 0.1391539 0.2833631
## Contig_2178470_49 Contig_2179216_55 Contig_2181014_45 Contig_2181383_48
## ORN 0.4395604 0.3626374 0.52747253 0.4583333
## ID 0.3679654 0.5210526 0.09090909 0.3679654
## ORS 0.4945055 0.3250000 0.00000000 0.4395604
## CA 0.3282051 0.4666667 0.47038328 0.0000000
## WY 0.1125598 0.4989505 0.18165138 0.3986672
## Contig_2182041_14 Contig_2184148_43 Contig_2184482_9 Contig_2185131_86
## ORN 0.36263736 0.4945055 0.4945055 0.00000000
## ID 0.17316017 0.4583333 0.4155844 0.09090909
## ORS 0.29411765 0.5032680 0.2333333 0.52747253
## CA 0.00000000 0.5120910 0.5007112 0.47460317
## WY 0.04039554 0.3638814 0.3965040 0.28052805
## Contig_2185290_78 Contig_2198155_51 Contig_2198983_108 Contig_2199708_28
## ORN 0.36263736 0.5000000 0.40000000 0.3030303
## ID 0.31168831 0.4421053 0.09090909 0.0000000
## ORS 0.12500000 0.5250000 0.40000000 0.4395604
## CA 0.45714286 0.4779516 0.10241821 0.2347084
## WY 0.03882741 0.4137332 0.03603003 0.0000000
## Contig_2199970_47 Contig_2201175_100 Contig_2201501_30 Contig_2202377_62
## ORN 0.2333333 0.3626374 0.4000000 0.0000000
## ID 0.0000000 0.5194805 0.5194805 0.1731602
## ORS 0.4000000 0.3660131 0.4705882 0.1428571
## CA 0.3846154 0.1493599 0.4500000 0.1934566
## WY 0.0000000 0.4114286 0.4881128 0.1877808
## Contig_2204227_75 Contig_2204492_13 Contig_2205206_54 Contig_2206898_55
## ORN 0.3250000 0.4395604 0.1250000 0.4395604
## ID 0.1000000 0.0000000 0.2467532 0.1894737
## ORS 0.1250000 0.2333333 0.2941176 0.0000000
## CA 0.4126984 0.2845528 0.4703833 0.0000000
## WY 0.2696044 0.0000000 0.2942565 0.4097035
## Contig_2207035_17 Contig_2207869_6 Contig_2209766_75 Contig_2212471_93
## ORN 0.4395604 0.5454545 0.0000000 0.3250000
## ID 0.5194805 0.5384615 0.5032680 0.1731602
## ORS 0.5228758 0.5333333 0.1250000 0.2941176
## CA 0.5133690 0.4438122 0.1358885 0.5128205
## WY 0.3787879 0.4797508 0.3109091 0.2404293
## Contig_2216984_91 Contig_2221174_8 Contig_2221852_111 Contig_2221879_46
## ORN 0.0000000 0.3250000 0.0000000 0.0000000
## ID 0.0000000 0.2467532 0.4848485 0.1731602
## ORS 0.4848485 0.4705882 0.2091503 0.4583333
## CA 0.4224751 0.3413940 0.0000000 0.5007112
## WY 0.0707256 0.2085384 0.4166667 0.2547594
## Contig_2222131_83 Contig_2222747_34 Contig_2222978_81 Contig_2225429_47
## ORN 0.4000000 0.5384615 0.4000000 0.36263736
## ID 0.0000000 0.0000000 0.5194805 0.09090909
## ORS 0.5333333 0.1111111 0.4248366 0.53030303
## CA 0.5075494 0.2615385 0.5021142 0.39829303
## WY 0.0000000 0.0000000 0.4993443 0.35847647
## Contig_2226812_86 Contig_2227269_39 Contig_2227334_52 Contig_2228973_14
## ORN 0.1428571 0.1428571 0.12500000 0.5000000
## ID 0.3368421 0.0000000 0.33684211 0.3116883
## ORS 0.2637363 0.0000000 0.23333333 0.5250000
## CA 0.0000000 0.3982930 0.05555556 0.4623044
## WY 0.2091503 0.0000000 0.28037383 0.2330532
## Contig_2238365_67 Contig_2238549_45 Contig_2239367_18 Contig_2240061_81
## ORN 0.0000000 0.14285714 0.1250000 0.3626374
## ID 0.2467532 0.36796537 0.0000000 0.0000000
## ORS 0.4000000 0.00000000 0.1111111 0.4000000
## CA 0.2410148 0.04545455 0.4224751 0.0000000
## WY 0.3254294 0.33307148 0.0000000 0.0000000
## Contig_2241058_66 Contig_2242807_128 Contig_2245049_9 Contig_2245752_12
## ORN 0.3626374 0.00000000 0.4945055 0.4583333
## ID 0.2467532 0.10000000 0.4848485 0.4155844
## ORS 0.5333333 0.00000000 0.2091503 0.4705882
## CA 0.1079365 0.48520085 0.5007112 0.4126984
## WY 0.2376981 0.09415647 0.4073902 0.4944884
## Contig_2246430_11 Contig_2246842_119 Contig_2248802_53 Contig_2249686_18
## ORN 0.40909091 0.1250000 0.0000000 0.3626374
## ID 0.11111111 0.3679654 0.3679654 0.4155844
## ORS 0.16666667 0.1428571 0.0000000 0.0000000
## CA 0.28455285 0.0000000 0.0000000 0.0000000
## WY 0.05354462 0.1207962 0.2970350 0.2547022
## Contig_2251228_44 Contig_2251238_12 Contig_2251559_62 Contig_2255774_26
## ORN 0.40000000 0.23333333 0.00000000 0.5303030
## ID 0.41558442 0.09090909 0.09090909 0.4545455
## ORS 0.23333333 0.00000000 0.00000000 0.4090909
## CA 0.04761905 0.48888889 0.00000000 0.3960511
## WY 0.34727646 0.12168896 0.17845198 0.3185328
## Contig_2256798_3 Contig_2257395_95 Contig_2258268_68 Contig_2261280_10
## ORN 0.4945055 0.00000000 0.0000000 0.1250000
## ID 0.4789474 0.09090909 0.1731602 0.2467532
## ORS 0.4583333 0.23333333 0.1250000 0.1250000
## CA 0.4866310 0.00000000 0.0000000 0.0000000
## WY 0.3161994 0.17501716 0.1787323 0.3501291
## Contig_2262556_13 Contig_2262774_85 Contig_2266588_36 Contig_2267426_49
## ORN 0.2637363 0.0000000 0.0000000 0.00000000
## ID 0.3368421 0.3679654 0.1731602 0.09090909
## ORS 0.0000000 0.0000000 0.0000000 0.43956044
## CA 0.0000000 0.0000000 0.0000000 0.00000000
## WY 0.1494886 0.3320755 0.1654247 0.12910115
## Contig_2269179_66 Contig_2274889_63 Contig_2276173_118 Contig_2276448_50
## ORN 0.2333333 0.4945055 0.2333333 0.2637363
## ID 0.4848485 0.5210526 0.4545455 0.3679654
## ORS 0.4248366 0.5228758 0.3250000 0.0000000
## CA 0.4509804 0.4307692 0.1300211 0.0000000
## WY 0.5037037 0.4149977 0.3737646 0.3737646
## Contig_2276796_52 Contig_2278109_119 Contig_2279815_53 Contig_2281773_11
## ORN 0.2637363 0.0000000 0.4945055 0.50000000
## ID 0.3116883 0.0000000 0.4848485 0.00000000
## ORS 0.1666667 0.2637363 0.4945055 0.52287582
## CA 0.0000000 0.0000000 0.0500000 0.51153846
## WY 0.2251201 0.1919794 0.4819040 0.01470588
## Contig_2281870_119 Contig_2282442_46 Contig_2284228_56 Contig_2286374_90
## ORN 0.36263736 0.5303030 0.5274725 0.00000000
## ID 0.24675325 0.2467532 0.4848485 0.29411765
## ORS 0.26373626 0.5294118 0.4705882 0.26373626
## CA 0.08879493 0.2961538 0.1765389 0.09291521
## WY 0.22461658 0.4632477 0.4998948 0.12236068
## Contig_2287845_15 Contig_2288235_43 Contig_2289380_30 Contig_2290282_15
## ORN 0.0000000 0.0000000 0.0000000 0.0000000
## ID 0.0000000 0.2091503 0.1731602 0.1111111
## ORS 0.1250000 0.1250000 0.0000000 0.1666667
## CA 0.4126984 0.3528226 0.0000000 0.1571429
## WY 0.1139394 0.1725067 0.1384562 0.1023166
## Contig_2291127_18 Contig_2292356_36 Contig_2294623_91 Contig_2295629_35
## ORN 0.1250000 0.45833333 0.5274725 0.0000000
## ID 0.0000000 0.09090909 0.5064935 0.3368421
## ORS 0.4000000 0.52287582 0.5032680 0.0000000
## CA 0.3086771 0.00000000 0.3159117 0.0000000
## WY 0.0000000 0.02877393 0.4516129 0.2171260
## Contig_2295995_126 Contig_2296184_13 Contig_2299854_21 Contig_2300657_56
## ORN 0.5000000 0.00000000 0.30303030 0.4945055
## ID 0.0000000 0.09090909 0.09090909 0.5064935
## ORS 0.3250000 0.00000000 0.30303030 0.4945055
## CA 0.4173387 0.05263158 0.51153846 0.5080214
## WY 0.0000000 0.16852514 0.30615414 0.4654545
## Contig_2300874_13 Contig_2301208_62 Contig_2302723_111 Contig_2308570_55
## ORN 0.00000000 0.0000000 0.1428571 0.5333333
## ID 0.00000000 0.2467532 0.4248366 0.5052632
## ORS 0.40000000 0.5274725 0.0000000 0.4945055
## CA 0.40106952 0.2031746 0.5079365 0.4173387
## WY 0.07199723 0.3046158 0.4255166 0.4388533
## Contig_2312705_18 Contig_2313862_45 Contig_2313903_47 Contig_2320864_97
## ORN 0.4395604 0.14285714 0.00000000 0.12500000
## ID 0.5238095 0.17316017 0.00000000 0.17316017
## ORS 0.4248366 0.36263736 0.12500000 0.47058824
## CA 0.2139037 0.46230441 0.51351351 0.00000000
## WY 0.4879066 0.01886792 0.01754386 0.03808813
## Contig_2321323_43 Contig_2322960_35 Contig_2323287_20 Contig_2323343_21
## ORN 0.1666667 0.3250000 0.0000000 0.5384615
## ID 0.5194805 0.0000000 0.1731602 0.4155844
## ORS 0.2091503 0.0000000 0.0000000 0.4705882
## CA 0.4779516 0.4623044 0.0974359 0.1493599
## WY 0.4505421 0.0000000 0.3185328 0.4710941
## Contig_2326761_15 Contig_2326900_33 Contig_2327320_23 Contig_2327466_35
## ORN 0.3030303 0.0000000 0.0000000 0.5000000
## ID 0.3679654 0.1731602 0.0000000 0.4155844
## ORS 0.5000000 0.0000000 0.0000000 0.4248366
## CA 0.4365079 0.0000000 0.0000000 0.4181185
## WY 0.4033242 0.4512939 0.2019407 0.3158005
## Contig_2334236_14 Contig_2334602_55 Contig_2334719_10 Contig_2338493_29
## ORN 0.2637363 0.53846154 0.00000000 0.0000000
## ID 0.5052632 0.09090909 0.17316017 0.3947368
## ORS 0.2091503 0.00000000 0.23333333 0.0000000
## CA 0.1358885 0.00000000 0.04761905 0.0000000
## WY 0.3702614 0.14868687 0.16545455 0.4222947
## Contig_2343051_38 Contig_2344226_42 Contig_2345383_4 Contig_2345502_60
## ORN 0.4000000 0.4583333 0.0000000 0.1250000
## ID 0.4155844 0.4848485 0.3679654 0.5194805
## ORS 0.2941176 0.0000000 0.0000000 0.0000000
## CA 0.4807692 0.4746032 0.0000000 0.0500000
## WY 0.1696089 0.3285463 0.2207207 0.4902066
## Contig_2345519_113 Contig_2349134_63 Contig_2349534_34 Contig_2352477_28
## ORN 0.49450549 0.0000000 0.50000000 0.4945055
## ID 0.00000000 0.4155844 0.09090909 0.5064935
## ORS 0.52500000 0.0000000 0.29411765 0.3660131
## CA 0.05000000 0.0000000 0.25087108 0.5121951
## WY 0.08872987 0.3074324 0.08053221 0.2918801
## Contig_2353731_119 Contig_2354477_54 Contig_2354717_130 Contig_2355931_38
## ORN 0.49450549 0.0000000 0.1428571 0.4583333
## ID 0.17316017 0.4545455 0.3368421 0.5032680
## ORS 0.12500000 0.1111111 0.5454545 0.3250000
## CA 0.00000000 0.1358885 0.0000000 0.0000000
## WY 0.07453787 0.4022520 0.4250375 0.3402062
## Contig_2360703_27 Contig_2360856_64 Contig_2363201_39 Contig_2364133_57
## ORN 0.5000000 0.0000000 0.50000000 0.0000000
## ID 0.4421053 0.3116883 0.00000000 0.4248366
## ORS 0.4583333 0.0000000 0.00000000 0.4583333
## CA 0.4807692 0.0000000 0.35769231 0.2731152
## WY 0.2366228 0.1654247 0.05657207 0.2571429
## Contig_2366122_80 Contig_2368563_31 Contig_2369001_23 Contig_2370319_75
## ORN 0.00000000 0.4000000 0.5000000 0.00000000
## ID 0.00000000 0.3679654 0.2467532 0.09090909
## ORS 0.11111111 0.1111111 0.5000000 0.50326797
## CA 0.37126600 0.4500000 0.3712660 0.10793651
## WY 0.01754386 0.1910710 0.3355069 0.07468260
## Contig_2371241_16 Contig_2372158_5 Contig_2373769_108 Contig_2374395_4
## ORN 0.0000000 0.1250000 0.52747253 0.12500000
## ID 0.3116883 0.4545455 0.09090909 0.24675325
## ORS 0.1250000 0.4248366 0.29411765 0.40000000
## CA 0.0000000 0.1934566 0.37126600 0.33689840
## WY 0.1042077 0.4368254 0.14868687 0.07802255
## Contig_2375549_89 Contig_2376649_92 Contig_2378697_32 Contig_2380939_10
## ORN 0.5384615 0.12500000 0.4583333 0.32500000
## ID 0.5052632 0.33684211 0.0000000 0.00000000
## ORS 0.5000000 0.11111111 0.0000000 0.53030303
## CA 0.2615385 0.09291521 0.0000000 0.00000000
## WY 0.4912281 0.31471282 0.1267737 0.05590956
## Contig_2385760_128 Contig_2386960_76 Contig_2388418_13 Contig_2389579_124
## ORN 0.1250000 0.5250000 0.0000000 0.26373626
## ID 0.4545455 0.1731602 0.1894737 0.17316017
## ORS 0.4000000 0.1666667 0.4705882 0.36601307
## CA 0.0500000 0.4173387 0.2139037 0.04545455
## WY 0.4982929 0.1786061 0.2070463 0.22381573
## Contig_2390586_11 Contig_2391969_103 Contig_2392399_119 Contig_2394037_58
## ORN 0.0000000 0.52500000 0.52500000 0.3626374
## ID 0.3679654 0.09090909 0.09090909 0.1731602
## ORS 0.0000000 0.47058824 0.00000000 0.0000000
## CA 0.0000000 0.32820513 0.00000000 0.4888889
## WY 0.2492532 0.18151261 0.01818182 0.1267737
## Contig_2394640_21 Contig_2397888_57 Contig_2399238_7 Contig_2399357_26
## ORN 0.0000000 0.0000000 0.4090909 0.53333333
## ID 0.1894737 0.0000000 0.4155844 0.09090909
## ORS 0.0000000 0.1111111 0.2091503 0.36601307
## CA 0.0000000 0.3716609 0.4623044 0.27311522
## WY 0.1879371 0.0000000 0.2366228 0.07610173
## Contig_2405085_95 Contig_2411940_7 Contig_2412605_24 Contig_2414833_103
## ORN 0.1428571 0.00000000 0.48484848 0.00000000
## ID 0.1731602 0.10000000 0.24675325 0.45454545
## ORS 0.4945055 0.12500000 0.11111111 0.20915033
## CA 0.0000000 0.05263158 0.05555556 0.04761905
## WY 0.1433906 0.26773970 0.18426771 0.27631184
## Contig_2416084_30 Contig_2416294_93 Contig_2416861_60 Contig_2418790_113
## ORN 0.52500000 0.0000000 0.4395604 0.00000000
## ID 0.09090909 0.4848485 0.5238095 0.17316017
## ORS 0.50000000 0.1428571 0.0000000 0.00000000
## CA 0.51269841 0.0000000 0.4500000 0.09291521
## WY 0.15645372 0.2664474 0.4875000 0.29910045
## Contig_2420110_55 Contig_2421089_42 Contig_2425936_27 Contig_2430509_27
## ORN 0.43956044 0.4395604 0.5333333 0.5333333
## ID 0.17316017 0.1111111 0.0000000 0.5238095
## ORS 0.12500000 0.3250000 0.5294118 0.5294118
## CA 0.05263158 0.4907539 0.4907539 0.5121951
## WY 0.05765871 0.3381656 0.1377862 0.5054859
## Contig_2430762_26 Contig_2430948_82 Contig_2431360_37 Contig_2432533_113
## ORN 0.43956044 0.40000000 0.0000000 0.5000000
## ID 0.09090909 0.00000000 0.4545455 0.4248366
## ORS 0.47058824 0.12500000 0.2333333 0.1111111
## CA 0.50071124 0.14935989 0.0000000 0.5115385
## WY 0.08070175 0.03959596 0.4605353 0.4356209
## Contig_2439340_80 Contig_2440039_64 Contig_2442180_111 Contig_2443021_19
## ORN 0.53030303 0.0000000 0.3626374 0.26373626
## ID 0.52380952 0.1731602 0.3116883 0.24675325
## ORS 0.12500000 0.0000000 0.1428571 0.26373626
## CA 0.04761905 0.0000000 0.4224751 0.50802139
## WY 0.50178834 0.1750172 0.0997807 0.09074573
## Contig_2443183_50 Contig_2444127_87 Contig_2446279_60 Contig_2446790_37
## ORN 0.1428571 0.0000000 0.32500000 0.26373626
## ID 0.3679654 0.3368421 0.31168831 0.00000000
## ORS 0.1250000 0.2333333 0.00000000 0.49450549
## CA 0.0000000 0.5151515 0.09291521 0.48663102
## WY 0.3551901 0.3061541 0.17371429 0.05260618
## Contig_2449274_29 Contig_2452085_56 Contig_2459734_79 Contig_2460959_25
## ORN 0.4583333 0.5250000 0.5454545 0.5250000
## ID 0.5228758 0.4545455 0.4545455 0.5064935
## ORS 0.3555556 0.5228758 0.4395604 0.5228758
## CA 0.4779516 0.4807692 0.5078236 0.4779516
## WY 0.2761389 0.4947526 0.4552229 0.3544621
## Contig_2462195_19 Contig_2463270_101 Contig_2466085_11 Contig_2466671_78
## ORN 0.3250000 0.0000000 0.4000000 0.3250000
## ID 0.4155844 0.2467532 0.2467532 0.2467532
## ORS 0.5228758 0.0000000 0.4705882 0.5032680
## CA 0.0000000 0.0000000 0.4979839 0.4059197
## WY 0.3355069 0.4272957 0.1871064 0.3687453
## Contig_2470342_42 Contig_2473198_111 Contig_2473530_52 Contig_2473999_35
## ORN 0.4945055 0.5274725 0.0000000 0.0000000
## ID 0.1731602 0.5228758 0.0000000 0.0000000
## ORS 0.3030303 0.0000000 0.0000000 0.2941176
## CA 0.0974359 0.3982930 0.5141129 0.4571429
## WY 0.0707256 0.4991597 0.0000000 0.0000000
## Contig_2476533_108 Contig_2478365_38 Contig_2479617_94 Contig_2483866_40
## ORN 0.14285714 0.0000000 0.00000000 0.3250000
## ID 0.09090909 0.4155844 0.10000000 0.4155844
## ORS 0.12500000 0.3250000 0.32500000 0.3250000
## CA 0.31591173 0.2615385 0.05263158 0.3594080
## WY 0.12677371 0.4022520 0.09595960 0.1786061
## Contig_2485593_89 Contig_2486590_19 Contig_2487556_73 Contig_2488993_126
## ORN 0.3626374 0.4000000 0.0000000 0.00000000
## ID 0.4421053 0.2467532 0.1894737 0.09090909
## ORS 0.5274725 0.3660131 0.1250000 0.00000000
## CA 0.5142857 0.2731152 0.2460317 0.15714286
## WY 0.4194015 0.2801120 0.2492532 0.19616347
## Contig_2490600_54 Contig_2491464_38 Contig_2494839_5 Contig_2495902_54
## ORN 0.3250000 0.2637363 0.26373626 0.00000000
## ID 0.2467532 0.1731602 0.00000000 0.09090909
## ORS 0.2091503 0.5274725 0.40909091 0.53333333
## CA 0.0000000 0.5135135 0.22435897 0.37126600
## WY 0.2061240 0.2873594 0.06716642 0.01923077
## Contig_2497410_113 Contig_2501845_10 Contig_2502372_50 Contig_2503450_17
## ORN 0.0000000 0.00000000 0.53846154 0.0000000
## ID 0.0000000 0.00000000 0.24675325 0.0000000
## ORS 0.2637363 0.20915033 0.50326797 0.5250000
## CA 0.3982930 0.47795164 0.04761905 0.1934566
## WY 0.0000000 0.01538462 0.27029915 0.0000000
## Contig_2504124_65 Contig_2506162_27 Contig_2507608_118 Contig_2509744_43
## ORN 0.45833333 0.4945055 0.1250000 0.1250000
## ID 0.24675325 0.4545455 0.4545455 0.0000000
## ORS 0.20915033 0.4705882 0.5250000 0.3250000
## CA 0.05882353 0.1423077 0.3716609 0.1691332
## WY 0.04476058 0.2762302 0.3478342 0.2833631
## Contig_2518168_11 Contig_2519795_79 Contig_2521686_24 Contig_2523420_48
## ORN 0.00000000 0.00000000 0.0000000 0.0000000
## ID 0.17316017 0.00000000 0.0000000 0.0000000
## ORS 0.23333333 0.42483660 0.5250000 0.0000000
## CA 0.39605110 0.28455285 0.2731152 0.0000000
## WY 0.05765871 0.04346405 0.0000000 0.1668057
## Contig_2527169_33 Contig_2533954_115 Contig_2535051_52 Contig_2536389_17
## ORN 0.0000000 0.0000000 0.5555556 0.0000000
## ID 0.2684211 0.3679654 0.5238095 0.4155844
## ORS 0.0000000 0.5274725 0.4248366 0.0000000
## CA 0.0000000 0.2584670 0.4807692 0.0000000
## WY 0.1624927 0.1486869 0.5038038 0.3235955
## Contig_2539358_4 Contig_2541353_5 Contig_2543212_5 Contig_2544096_53
## ORN 0.0000000 0.00000000 0.5384615 0.43956044
## ID 0.1731602 0.09090909 0.5238095 0.00000000
## ORS 0.0000000 0.12500000 0.5294118 0.50000000
## CA 0.0500000 0.00000000 0.5142857 0.34494774
## WY 0.2547594 0.23144654 0.5045822 0.03149206
## Contig_2544319_15 Contig_2547676_51 Contig_2548975_29 Contig_2550180_84
## ORN 0.3626374 0.12500000 0.0000000 0.2333333
## ID 0.4155844 0.09090909 0.1111111 0.4848485
## ORS 0.3660131 0.42483660 0.0000000 0.2091503
## CA 0.1140820 0.27311522 0.0000000 0.4438122
## WY 0.3516807 0.00000000 0.1892211 0.3061541
## Contig_2551614_19 Contig_2554913_16 Contig_2555394_25 Contig_2556764_24
## ORN 0.2333333 0.2333333 0.0000000 0.0000000
## ID 0.1731602 0.3116883 0.0000000 0.2467532
## ORS 0.1111111 0.1111111 0.3250000 0.4705882
## CA 0.3716609 0.3576923 0.2845528 0.4126984
## WY 0.1078167 0.2696044 0.0000000 0.1910007
## Contig_2556777_57 Contig_2560391_39 Contig_2562550_16 Contig_2564778_35
## ORN 0.3250000 0.23333333 0.43956044 0.0000000
## ID 0.0000000 0.09090909 0.09090909 0.4155844
## ORS 0.2333333 0.23333333 0.52941176 0.2333333
## CA 0.3857143 0.45714286 0.30443975 0.0000000
## WY 0.0000000 0.02083333 0.02877393 0.2760362
## Contig_2567655_121 Contig_2569002_55 Contig_2570776_58 Contig_2572478_43
## ORN 0.4395604 0.0000000 0.0000000 0.5274725
## ID 0.0000000 0.0000000 0.4155844 0.4789474
## ORS 0.2333333 0.4395604 0.0000000 0.5250000
## CA 0.2961538 0.4500000 0.0000000 0.4831591
## WY 0.1578623 0.0000000 0.2418371 0.4632477
## Contig_2573490_97 Contig_2575265_42 Contig_2577480_25 Contig_2579979_52
## ORN 0.52747253 0.4945055 0.3626374 0.5333333
## ID 0.09090909 0.4248366 0.0000000 0.5238095
## ORS 0.20915033 0.5384615 0.0000000 0.5294118
## CA 0.00000000 0.3576923 0.0000000 0.5105708
## WY 0.06010733 0.4209069 0.2007496 0.5029129
## Contig_2580962_58 Contig_2584094_4 Contig_2586993_64 Contig_2587852_53
## ORN 0.4945055 0.5000000 0.5333333 0.00000000
## ID 0.3679654 0.3679654 0.4155844 0.51948052
## ORS 0.3250000 0.5294118 0.0000000 0.00000000
## CA 0.5115385 0.2508711 0.0000000 0.05882353
## WY 0.4085071 0.2836349 0.4060866 0.49978070
## Contig_2593514_84 Contig_2597438_112 Contig_2601639_12 Contig_2605334_57
## ORN 0.000000 0.0000000 0.5000000 0.40000000
## ID 0.000000 0.3116883 0.3368421 0.09090909
## ORS 0.000000 0.0000000 0.1111111 0.00000000
## CA 0.398293 0.0000000 0.1846154 0.00000000
## WY 0.000000 0.1640927 0.2715152 0.25382080
## Contig_2606340_62 Contig_2606392_43 Contig_2607113_66 Contig_2608344_41
## ORN 0.4090909 0.0000000 0.1250000 0.2637363
## ID 0.5052632 0.3116883 0.1731602 0.0000000
## ORS 0.5000000 0.0000000 0.1111111 0.0000000
## CA 0.1493599 0.0000000 0.0000000 0.5133690
## WY 0.3591208 0.1232680 0.2846361 0.0000000
## Contig_2610891_128 Contig_2614278_33 Contig_2616996_12 Contig_2624987_20
## ORN 0.1428571 0.5274725 0.0000000 0.1250000
## ID 0.2467532 0.4421053 0.2467532 0.4545455
## ORS 0.2091503 0.4705882 0.1111111 0.1111111
## CA 0.0000000 0.2243590 0.0000000 0.2615385
## WY 0.1057778 0.3249495 0.1377862 0.3737138
## Contig_2627347_23 Contig_2632204_69 Contig_2633539_103 Contig_2639709_112
## ORN 0.00000000 0.1250000 0.3626374 0.5555556
## ID 0.09090909 0.4248366 0.3679654 0.3947368
## ORS 0.00000000 0.1111111 0.2091503 0.3030303
## CA 0.21390374 0.1140820 0.3555556 0.1754032
## WY 0.11393939 0.3466667 0.2210526 0.2935003
## Contig_2640357_29 Contig_2641485_53 Contig_2642499_75 Contig_2642766_38
## ORN 0.2500000 0.5303030 0.4945055 0.4395604
## ID 0.0000000 0.5194805 0.2941176 0.3679654
## ORS 0.0000000 0.0000000 0.4583333 0.5250000
## CA 0.0000000 0.0000000 0.4888889 0.3716609
## WY 0.1696089 0.4401544 0.2508757 0.5039199
## Contig_2646703_3 Contig_2652309_42 Contig_2657820_8 Contig_2658438_19
## ORN 0.32500000 0.0000000 0.16666667 0.00000000
## ID 0.09090909 0.0000000 0.10000000 0.09090909
## ORS 0.12500000 0.5032680 0.00000000 0.00000000
## CA 0.00000000 0.5073996 0.04761905 0.04761905
## WY 0.25232384 0.0000000 0.20194073 0.14211213
## Contig_2658523_55 Contig_2666378_44 Contig_2668506_88 Contig_2669285_20
## ORN 0.40000000 0.2333333 0.43956044 0.1250000
## ID 0.24675325 0.0000000 0.29411765 0.1731602
## ORS 0.00000000 0.2091503 0.50000000 0.3250000
## CA 0.00000000 0.4365079 0.49910873 0.5120910
## WY 0.06118421 0.1040867 0.09415647 0.3453947
## Contig_2669749_11 Contig_2672450_52 Contig_2675533_20 Contig_2677666_19
## ORN 0.2637363 0.00000000 0.4000000 0.5000000
## ID 0.3679654 0.09090909 0.1894737 0.3368421
## ORS 0.0000000 0.12500000 0.5333333 0.0000000
## CA 0.0500000 0.00000000 0.4181185 0.0000000
## WY 0.2905397 0.21034195 0.0000000 0.2174502
## Contig_2678037_11 Contig_2680666_117 Contig_2684796_121 Contig_2685177_6
## ORN 0.1250000 0.4848485 0.26373626 0.1250000
## ID 0.4155844 0.5228758 0.00000000 0.0000000
## ORS 0.4945055 0.0000000 0.50000000 0.0000000
## CA 0.4779516 0.2961538 0.47460317 0.1571429
## WY 0.1118229 0.5018443 0.01785714 0.1267737
## Contig_2687040_30 Contig_2688301_83 Contig_2694419_63 Contig_2696137_63
## ORN 0.2333333 0.0000000 0.2333333 0.2637363
## ID 0.1731602 0.0000000 0.1731602 0.3116883
## ORS 0.2941176 0.2637363 0.0000000 0.2941176
## CA 0.0000000 0.5012821 0.0000000 0.5121951
## WY 0.2038503 0.0000000 0.1023166 0.2842664
## Contig_2696846_44 Contig_2698717_50 Contig_2702024_92 Contig_2702782_46
## ORN 0.0000000 0.0000000 0.2637363 0.0000000
## ID 0.4545455 0.3679654 0.5064935 0.4848485
## ORS 0.1250000 0.4000000 0.1111111 0.0000000
## CA 0.0000000 0.1423077 0.1846154 0.0000000
## WY 0.4532063 0.4310259 0.4998948 0.3397683
## Contig_2707558_7 Contig_2708361_71 Contig_2713572_78 Contig_2715568_15
## ORN 0.5333333 0.0000000 0.2637363 0.5454545
## ID 0.5238095 0.0000000 0.3679654 0.4789474
## ORS 0.5294118 0.2941176 0.1428571 0.2333333
## CA 0.5105708 0.4831591 0.4045977 0.2460317
## WY 0.5019662 0.0000000 0.4443778 0.4733010
## Contig_2715942_63 Contig_2717613_79 Contig_2721498_28 Contig_2722594_52
## ORN 0.0000000 0.0000000 0.0000000 0.1250000
## ID 0.0000000 0.0000000 0.2467532 0.1731602
## ORS 0.5000000 0.2333333 0.2333333 0.1111111
## CA 0.2508711 0.0000000 0.0000000 0.5000000
## WY 0.0000000 0.2803738 0.2096680 0.1161372
## Contig_2723521_3 Contig_2725460_15 Contig_2726412_84 Contig_2726750_4
## ORN 0.3250000 0.00000000 0.0000000 0.5333333
## ID 0.1731602 0.45454545 0.4545455 0.5238095
## ORS 0.0000000 0.00000000 0.3626374 0.5294118
## CA 0.0000000 0.05263158 0.0000000 0.5121951
## WY 0.2562343 0.38219753 0.2547594 0.5043131
## Contig_2727488_54 Contig_2734450_37 Contig_2734751_56 Contig_2735339_123
## ORN 0.0000000 0.5333333 0.00000000 0.2500000
## ID 0.0000000 0.0000000 0.09090909 0.1111111
## ORS 0.2941176 0.0000000 0.00000000 0.0000000
## CA 0.4224751 0.2731152 0.00000000 0.1934566
## WY 0.0000000 0.1494886 0.14948859 0.2078431
## Contig_2735887_5 Contig_2735976_132 Contig_2738173_127 Contig_2739432_74
## ORN 0.00000000 0.2333333 0.36263736 0.4395604
## ID 0.00000000 0.0000000 0.00000000 0.4545455
## ORS 0.11111111 0.1111111 0.36601307 0.5032680
## CA 0.49075391 0.5133690 0.00000000 0.5007112
## WY 0.01785714 0.0000000 0.06605824 0.4328841
## Contig_2744322_58 Contig_2746492_63 Contig_2750924_89 Contig_2752937_35
## ORN 0.5000000 0.0000000 0.2333333 0.0000000
## ID 0.3116883 0.1894737 0.1731602 0.4155844
## ORS 0.3660131 0.0000000 0.1250000 0.0000000
## CA 0.5012821 0.0000000 0.1862069 0.0000000
## WY 0.3965414 0.1871064 0.3738550 0.4466667
## Contig_2756034_91 Contig_2763584_40 Contig_2763715_88 Contig_2763998_118
## ORN 0.5250000 0.4945055 0.00000000 0.0000000
## ID 0.5238095 0.0000000 0.00000000 0.1000000
## ORS 0.5333333 0.2333333 0.42483660 0.1250000
## CA 0.5076923 0.1934566 0.37166086 0.2148664
## WY 0.4721413 0.0000000 0.01612903 0.2003142
## Contig_2771853_123 Contig_2773525_65 Contig_2777583_127 Contig_2778478_33
## ORN 0.00000000 0.2637363 0.0000000 0.5333333
## ID 0.09090909 0.2684211 0.4421053 0.5238095
## ORS 0.49450549 0.5000000 0.0000000 0.5294118
## CA 0.50793651 0.0500000 0.0000000 0.5115385
## WY 0.00000000 0.3183848 0.2699672 0.5031740
## Contig_2778747_33 Contig_2781267_112 Contig_2781699_47 Contig_2790407_55
## ORN 0.52500000 0.1428571 0.4395604 0.5274725
## ID 0.09090909 0.5194805 0.2684211 0.5194805
## ORS 0.00000000 0.0000000 0.4583333 0.5294118
## CA 0.26153846 0.3044397 0.3716609 0.4181185
## WY 0.15394402 0.4612697 0.4033242 0.4931581
## Contig_2794777_34 Contig_2797529_40 Contig_2803853_92 Contig_2808555_60
## ORN 0.50000000 0.20000000 0.35555556 0.0000000
## ID 0.51948052 0.26842105 0.09090909 0.2684211
## ORS 0.40000000 0.00000000 0.40000000 0.0000000
## CA 0.05555556 0.49230769 0.05555556 0.4657258
## WY 0.50323232 0.03959596 0.13991597 0.2471042
## Contig_2810514_10 Contig_2812119_120 Contig_2814283_69 Contig_2815230_18
## ORN 0.00000000 0.40909091 0.0000000 0.14285714
## ID 0.09090909 0.36796537 0.4421053 0.17316017
## ORS 0.00000000 0.00000000 0.5000000 0.29411765
## CA 0.33689840 0.46666667 0.0000000 0.26153846
## WY 0.12910115 0.07802255 0.2324847 0.05451713
## Contig_2816485_32 Contig_2821804_31 Contig_2823502_43 Contig_2824146_38
## ORN 0.4945055 0.000000 0.3626374 0.0000000
## ID 0.3116883 0.000000 0.1000000 0.4155844
## ORS 0.5294118 0.325000 0.5250000 0.0000000
## CA 0.3982930 0.398293 0.4907539 0.0000000
## WY 0.1767677 0.000000 0.3536388 0.2980626
## Contig_2827093_41 Contig_2828676_14 Contig_2829355_73 Contig_2835568_11
## ORN 0.50000000 0.32500000 0.3250000 0.0000000
## ID 0.00000000 0.36796537 0.2684211 0.4545455
## ORS 0.47058824 0.11111111 0.5250000 0.4705882
## CA 0.39829303 0.05263158 0.1079365 0.2615385
## WY 0.01612903 0.41237113 0.2432323 0.3785047
## Contig_2838426_72 Contig_2839286_90 Contig_2840275_21 Contig_2840633_23
## ORN 0.00000000 0.1250000 0.48484848 0.5333333
## ID 0.09090909 0.1000000 0.00000000 0.5238095
## ORS 0.40000000 0.0000000 0.00000000 0.5294118
## CA 0.05000000 0.0000000 0.37166086 0.5110337
## WY 0.16968140 0.1494886 0.01639344 0.5027759
## Contig_2842604_51 Contig_2842975_112 Contig_2844558_52 Contig_2845769_57
## ORN 0.0000000 0.00000000 0.4090909 0.0000000
## ID 0.0000000 0.09090909 0.3116883 0.0000000
## ORS 0.2637363 0.20915033 0.4583333 0.2091503
## CA 0.3712660 0.29615385 0.5076923 0.0000000
## WY 0.0000000 0.04394507 0.2994738 0.2663001
## Contig_2851189_5 Contig_2851978_12 Contig_2857960_11 Contig_2859026_81
## ORN 0.1428571 0.1666667 0.4000000 0.1666667
## ID 0.0000000 0.0000000 0.0000000 0.0000000
## ORS 0.2333333 0.4583333 0.0000000 0.0000000
## CA 0.5080214 0.5142857 0.2243590 0.0000000
## WY 0.0000000 0.0000000 0.1815126 0.2560161
## Contig_2859885_112 Contig_2861158_17 Contig_2864245_60 Contig_2867545_54
## ORN 0.1250000 0.1428571 0.2637363 0.0000000
## ID 0.0000000 0.4155844 0.3116883 0.4155844
## ORS 0.5000000 0.4248366 0.5384615 0.2941176
## CA 0.2031746 0.3222222 0.5128205 0.4500000
## WY 0.0000000 0.3623885 0.2173576 0.4149977
## Contig_2867896_22 Contig_2875330_9 Contig_2878218_102 Contig_2880660_34
## ORN 0.2333333 0.4395604 0.0000000 0.12500000
## ID 0.4848485 0.5064935 0.3368421 0.00000000
## ORS 0.2941176 0.5228758 0.0000000 0.47058824
## CA 0.4735729 0.4703833 0.0500000 0.51269841
## WY 0.2452381 0.4532063 0.3829858 0.01694915
## Contig_2881668_15 Contig_2881994_42 Contig_2883763_20 Contig_2884623_36
## ORN 0.0000000 0.5000000 0.0000000 0.00000000
## ID 0.0000000 0.0000000 0.5194805 0.09090909
## ORS 0.1250000 0.5000000 0.2941176 0.00000000
## CA 0.0000000 0.4703833 0.0974359 0.00000000
## WY 0.1919794 0.0319958 0.4369872 0.16960886
## Contig_2887172_26 Contig_2892239_15 Contig_2894770_104 Contig_2897756_30
## ORN 0.1250000 0.49450549 0.5274725 0.00000000
## ID 0.3116883 0.00000000 0.5052632 0.00000000
## ORS 0.2091503 0.52500000 0.3626374 0.42483660
## CA 0.1423077 0.51282051 0.3222222 0.50754936
## WY 0.4790105 0.01694915 0.4944884 0.01851852
## Contig_2903128_52 Contig_2909020_77 Contig_2911042_12 Contig_2921604_25
## ORN 0.00000000 0.26373626 0.5357143 0.3030303
## ID 0.51948052 0.00000000 0.1111111 0.5064935
## ORS 0.11111111 0.20915033 0.0000000 0.2333333
## CA 0.05263158 0.17653891 0.0000000 0.5121951
## WY 0.38435141 0.08618561 0.2070463 0.4787281
## Contig_2921660_32 Contig_2926682_8 Contig_2927771_42 Contig_2928971_35
## ORN 0.4583333 0.1250000 0.40000000 0.00000000
## ID 0.4789474 0.1894737 0.09090909 0.09090909
## ORS 0.2941176 0.2637363 0.43956044 0.23333333
## CA 0.3960511 0.5161290 0.06666667 0.38571429
## WY 0.4012539 0.1040867 0.01818182 0.04997827
## Contig_2932107_26 Contig_2934626_30 Contig_2936103_93 Contig_2938599_18
## ORN 0.5000000 0.2333333 0.5274725 0.00000000
## ID 0.0000000 0.5238095 0.3368421 0.09090909
## ORS 0.2091503 0.0000000 0.5274725 0.20915033
## CA 0.2390805 0.0000000 0.4126984 0.00000000
## WY 0.0000000 0.5044612 0.1090638 0.39245283
## Contig_2941847_123 Contig_2942610_20 Contig_2947106_19 Contig_2955007_56
## ORN 0.0000000 0.00000000 0.5384615 0.0000000
## ID 0.4090909 0.36796537 0.5194805 0.2467532
## ORS 0.0000000 0.00000000 0.5250000 0.0000000
## CA 0.0000000 0.04545455 0.4807692 0.0000000
## WY 0.1589205 0.35446205 0.4837314 0.2284989
## Contig_2955821_45 Contig_2959534_12 Contig_2959625_119 Contig_2962597_18
## ORN 0.5384615 0.5384615 0.3250000 0.0000000
## ID 0.5052632 0.5238095 0.2467532 0.0000000
## ORS 0.5274725 0.5294118 0.1111111 0.2333333
## CA 0.5012821 0.5135135 0.0000000 0.3716609
## WY 0.4443615 0.5045822 0.2928105 0.0000000
## Contig_2963706_46 Contig_2969402_38 Contig_2972383_8 Contig_2972640_38
## ORN 0.2333333 0.14285714 0.5250000 0.50000000
## ID 0.4155844 0.00000000 0.4155844 0.00000000
## ORS 0.3660131 0.45833333 0.1111111 0.36601307
## CA 0.4571429 0.25087108 0.1934566 0.21486643
## WY 0.3320755 0.01960784 0.3570175 0.04836743
## Contig_2976432_30 Contig_2982126_35 Contig_2983907_84 Contig_2994204_60
## ORN 0.2637363 0.5274725 0.1428571 0.2333333
## ID 0.4848485 0.4155844 0.0000000 0.0000000
## ORS 0.1250000 0.0000000 0.3626374 0.2091503
## CA 0.1846154 0.3222222 0.2243590 0.0000000
## WY 0.1696089 0.2330532 0.0000000 0.1211716
## Contig_2995846_44 Contig_2997710_9 Contig_2999419_110 Contig_3000194_23
## ORN 0.0000000 0.0000000 0.36263736 0.45833333
## ID 0.3947368 0.4155844 0.09090909 0.50649351
## ORS 0.0000000 0.1111111 0.00000000 0.29411765
## CA 0.3449477 0.0000000 0.50802139 0.05263158
## WY 0.3886869 0.3058018 0.00000000 0.49285714
## Contig_3008196_46 Contig_3010449_69 Contig_3013748_20 Contig_3014641_89
## ORN 0.5250000 0.5384615 0.2333333 0.0000000
## ID 0.4545455 0.2467532 0.3116883 0.2467532
## ORS 0.5228758 0.0000000 0.0000000 0.0000000
## CA 0.5116279 0.5133690 0.1846154 0.0000000
## WY 0.4797914 0.2501967 0.2598134 0.2088767
## Contig_3017965_80 Contig_3019897_82 Contig_3026327_39 Contig_3028897_30
## ORN 0.1428571 0.00000000 0.5333333 0.2333333
## ID 0.5194805 0.09090909 0.5263158 0.0000000
## ORS 0.0000000 0.29411765 0.5294118 0.1250000
## CA 0.2148664 0.35769231 0.5121951 0.3982930
## WY 0.4695418 0.16299502 0.5037481 0.0000000
## Contig_3030975_90 Contig_3031107_79 Contig_3041169_27 Contig_3041399_43
## ORN 0.4000000 0.4285714 0.0000000 0.40000000
## ID 0.4155844 0.4248366 0.0000000 0.00000000
## ORS 0.1250000 0.4090909 0.0000000 0.20915033
## CA 0.5007112 0.4438122 0.3716609 0.46230441
## WY 0.1755041 0.4335586 0.0000000 0.05670158
## Contig_3044437_59 Contig_3047601_36 Contig_3051436_14 Contig_3055728_45
## ORN 0.1250000 0.3030303 0.40909091 0.2333333
## ID 0.4545455 0.3679654 0.17316017 0.4848485
## ORS 0.3660131 0.1428571 0.16666667 0.5250000
## CA 0.1024182 0.0000000 0.11408200 0.4278075
## WY 0.3544621 0.2173576 0.09074573 0.3789474
## Contig_3060183_20 Contig_3062447_8 Contig_3071699_40 Contig_3072518_18
## ORN 0.4945055 0.5000000 0.5250000 0.14285714
## ID 0.1731602 0.4789474 0.3679654 0.26842105
## ORS 0.5333333 0.4248366 0.5250000 0.00000000
## CA 0.4746032 0.4623044 0.4278075 0.04761905
## WY 0.1543860 0.4317841 0.5039199 0.17371429
## Contig_3074249_44 Contig_3081145_62 Contig_3082281_40 Contig_3084995_30
## ORN 0.00000000 0.3626374 0.0000000 0.4945055
## ID 0.24675325 0.4155844 0.4789474 0.0000000
## ORS 0.29411765 0.4000000 0.2941176 0.1250000
## CA 0.04761905 0.1934566 0.2857143 0.4089744
## WY 0.15183481 0.3843514 0.4881128 0.0200000
## Contig_3089736_77 Contig_3095023_17 Contig_3096473_20 Contig_3097067_80
## ORN 0.00000000 0.5384615 0.4090909 0.0000000
## ID 0.10000000 0.5263158 0.2333333 0.3116883
## ORS 0.36601307 0.5294118 0.3555556 0.0000000
## CA 0.46666667 0.5121951 0.4623044 0.2410148
## WY 0.04543828 0.4958730 0.0707256 0.1688730
## Contig_3102174_63 Contig_3102469_21 Contig_3105536_5 Contig_3106302_55
## ORN 0.5555556 0.5274725 0.3250000 0.4583333
## ID 0.4545455 0.5228758 0.1731602 0.1731602
## ORS 0.4395604 0.4945055 0.0000000 0.3250000
## CA 0.1846154 0.5076923 0.0000000 0.2731152
## WY 0.5033989 0.4238532 0.1078167 0.1705056
## Contig_3106997_46 Contig_3109107_115 Contig_3111268_111 Contig_3111429_92
## ORN 0.0000000 0.0000000 0.2637363 0.1428571
## ID 0.0000000 0.1000000 0.0000000 0.2467532
## ORS 0.2941176 0.0000000 0.5032680 0.0000000
## CA 0.4435484 0.0000000 0.4438122 0.0000000
## WY 0.0000000 0.2760362 0.1118229 0.2945175
## Contig_3119761_103 Contig_3120999_6 Contig_3121141_66 Contig_3129097_17
## ORN 0.1666667 0.5333333 0.5000000 0.0000000
## ID 0.3679654 0.5238095 0.4421053 0.2091503
## ORS 0.0000000 0.5333333 0.5384615 0.0000000
## CA 0.0000000 0.5135135 0.2258065 0.2731152
## WY 0.3258225 0.5037481 0.4301120 0.1459911
## Contig_3131545_28 Contig_3135969_69 Contig_3140004_59 Contig_3142045_5
## ORN 0.5274725 0.5384615 0.000000 0.3250000
## ID 0.4155844 0.4848485 0.000000 0.0000000
## ORS 0.5250000 0.4000000 0.000000 0.4000000
## CA 0.4126984 0.1571429 0.437863 0.2031746
## WY 0.3466667 0.4748580 0.000000 0.0000000
## Contig_3142872_47 Contig_3144937_71 Contig_3152651_46 Contig_3156655_29
## ORN 0.4848485 0.5250000 0.1428571 0.2637363
## ID 0.5210526 0.4155844 0.0000000 0.4789474
## ORS 0.2333333 0.2333333 0.4583333 0.4705882
## CA 0.0625000 0.0974359 0.2347084 0.5115385
## WY 0.3638814 0.4407871 0.0000000 0.3430368
## Contig_3172815_81 Contig_3184610_77 Contig_3187280_4 Contig_3187783_41
## ORN 0.0000000 0.14285714 0.4090909 0.0000000
## ID 0.4395604 0.00000000 0.0000000 0.0000000
## ORS 0.0000000 0.36263736 0.3030303 0.2333333
## CA 0.0000000 0.34139403 0.4509804 0.3159117
## WY 0.4137332 0.03477721 0.0000000 0.1477838
## Contig_3188288_24 Contig_3190103_26 Contig_3194625_35 Contig_3195891_6
## ORN 0.26373626 0.0000000 0.23333333 0.0000000
## ID 0.00000000 0.4545455 0.09090909 0.2467532
## ORS 0.40000000 0.0000000 0.42483660 0.0000000
## CA 0.33298097 0.4089744 0.51351351 0.0000000
## WY 0.06196825 0.4424370 0.11824324 0.3981818
## Contig_3200731_86 Contig_3200960_119 Contig_3202828_47 Contig_3211587_70
## ORN 0.4395604 0.0000000 0.40000000 0.1250000
## ID 0.2467532 0.2467532 0.09090909 0.2467532
## ORS 0.5250000 0.0000000 0.32500000 0.2941176
## CA 0.0000000 0.1209677 0.35769231 0.1423077
## WY 0.2114286 0.0959596 0.33976834 0.2515206
## Contig_3211866_99 Contig_3217293_42 Contig_3224889_66 Contig_3224898_71
## ORN 0.00000000 0.5454545 0.0000000 0.0000000
## ID 0.17316017 0.5384615 0.3368421 0.5210526
## ORS 0.26373626 0.5333333 0.4666667 0.3660131
## CA 0.47460317 0.5128205 0.4365079 0.2961538
## WY 0.08757298 0.5048544 0.3588279 0.4743935
## Contig_3229238_29 Contig_3229546_8 Contig_3233759_33 Contig_3240763_32
## ORN 0.4583333 0.00000000 0.4395604 0.4945055
## ID 0.0000000 0.00000000 0.5052632 0.3947368
## ORS 0.4000000 0.20915033 0.3660131 0.5228758
## CA 0.0000000 0.47795164 0.2243590 0.2243590
## WY 0.1815126 0.08606821 0.3570175 0.3224806
## Contig_3245105_46 Contig_3256579_66 Contig_3263727_37 Contig_3266186_14
## ORN 0.0000000 0.50000000 0.00000000 0.3555556
## ID 0.3116883 0.09090909 0.09090909 0.3116883
## ORS 0.0000000 0.42483660 0.00000000 0.3030303
## CA 0.0000000 0.47795164 0.00000000 0.2615385
## WY 0.1750172 0.04209563 0.30461579 0.4395960
## Contig_3266545_60 Contig_3268523_81 Contig_3268667_9 Contig_3271376_95
## ORN 0.5274725 0.3626374 0.36263736 0.2637363
## ID 0.4545455 0.4848485 0.09090909 0.1731602
## ORS 0.4000000 0.5000000 0.14285714 0.5454545
## CA 0.4888889 0.0000000 0.09743590 0.3707665
## WY 0.3232323 0.4330709 0.24528302 0.2722008
## Contig_3276745_47 Contig_3282068_40 Contig_3289551_100 Contig_3291112_55
## ORN 0.4945055 0.4395604 0.14285714 0.5384615
## ID 0.4848485 0.5194805 0.09090909 0.4848485
## ORS 0.5333333 0.5333333 0.12500000 0.5228758
## CA 0.3222222 0.4597701 0.51612903 0.4907539
## WY 0.3158005 0.4788859 0.01515152 0.4595960
## Contig_3291554_13 Contig_3292435_39 Contig_3298621_57 Contig_3298668_8
## ORN 0.4395604 0.16666667 0.3555556 0.5333333
## ID 0.5064935 0.31168831 0.1731602 0.5238095
## ORS 0.5000000 0.16666667 0.3626374 0.5294118
## CA 0.2243590 0.29946524 0.4705882 0.5116279
## WY 0.3786408 0.01724138 0.1993769 0.5035438
## Contig_3299794_21 Contig_3306926_23 Contig_3307376_36 Contig_3310569_30
## ORN 0.0000000 0.1250000 0.1250000 0.4000000
## ID 0.2467532 0.1731602 0.3116883 0.2467532
## ORS 0.0000000 0.0000000 0.2941176 0.1250000
## CA 0.1571429 0.0000000 0.0974359 0.0974359
## WY 0.3612641 0.1961635 0.1596341 0.1629950
## Contig_3315785_29 Contig_3326823_99 Contig_3332946_14 Contig_3333276_83
## ORN 0.00000000 0.0000000 0.1666667 0.5250000
## ID 0.00000000 0.2467532 0.4421053 0.0000000
## ORS 0.00000000 0.5250000 0.5000000 0.1111111
## CA 0.05263158 0.5126984 0.4705882 0.3449477
## WY 0.24685714 0.4194015 0.4707511 0.0000000
## Contig_3337101_127 Contig_3338348_88 Contig_3345555_40 Contig_3349751_100
## ORN 0.14285714 0.5555556 0.1428571 0.0000000
## ID 0.00000000 0.4000000 0.4848485 0.1894737
## ORS 0.12500000 0.0000000 0.2091503 0.3030303
## CA 0.20317460 0.0000000 0.0000000 0.1024182
## WY 0.07910793 0.3170422 0.5005997 0.1078167
## Contig_3352785_11 Contig_3353614_37 Contig_3354388_18 Contig_3355171_7
## ORN 0.00000000 0.0000000 0.00000000 0.5000000
## ID 0.00000000 0.0000000 0.17316017 0.3368421
## ORS 0.20915033 0.3626374 0.23333333 0.4583333
## CA 0.42780749 0.4923077 0.28455285 0.4746032
## WY 0.02083333 0.0000000 0.09783295 0.2103420
## Contig_3361377_55 Contig_3370734_60 Contig_3373005_33 Contig_3376130_25
## ORN 0.4945055 0.5000000 0.5333333 0.3626374
## ID 0.5052632 0.3679654 0.5194805 0.5064935
## ORS 0.5294118 0.5303030 0.5228758 0.4248366
## CA 0.1493599 0.4126984 0.5012821 0.0000000
## WY 0.5041075 0.5019557 0.4777932 0.3499035
## Contig_3377699_106 Contig_3381627_21 Contig_3402429_56 Contig_3404245_4
## ORN 0.49450549 0.49450549 0.52500000 0.4583333
## ID 0.09090909 0.09090909 0.09090909 0.0000000
## ORS 0.14285714 0.23333333 0.00000000 0.1111111
## CA 0.43076923 0.44354839 0.29615385 0.3528226
## WY 0.00000000 0.12677371 0.14599107 0.2761389
## Contig_3406314_8 Contig_3409878_20 Contig_3409915_78 Contig_3417012_15
## ORN 0.4000000 0.5333333 0.3030303 0.5250000
## ID 0.3626374 0.5238095 0.3679654 0.3679654
## ORS 0.4000000 0.5333333 0.3626374 0.5228758
## CA 0.3846154 0.5128205 0.2508711 0.2731152
## WY 0.4063451 0.5037011 0.4097035 0.3839680
## Contig_3417318_36 Contig_3418583_91 Contig_3419668_70 Contig_3420098_41
## ORN 0.0000000 0.1250000 0.0000000 0.00000000
## ID 0.2467532 0.5064935 0.4848485 0.09090909
## ORS 0.4000000 0.4583333 0.0000000 0.00000000
## CA 0.5012821 0.4059197 0.0000000 0.00000000
## WY 0.2207207 0.5028297 0.3326331 0.15687332
## Contig_3421322_45 Contig_3425671_21 Contig_3425708_24 Contig_3428976_74
## ORN 0.0000000 0.5384615 0.0000000 0.4285714
## ID 0.2467532 0.5000000 0.4848485 0.5052632
## ORS 0.0000000 0.5384615 0.1111111 0.5555556
## CA 0.0000000 0.4500000 0.0000000 0.2460317
## WY 0.2143981 0.4729730 0.4123711 0.4618849
## Contig_3438669_48 Contig_3440651_18 Contig_3442003_16 Contig_3444751_71
## ORN 0.0000000 0.3250000 0.3250000 0.3250000
## ID 0.3679654 0.0000000 0.1731602 0.0000000
## ORS 0.2941176 0.3250000 0.1111111 0.0000000
## CA 0.4703833 0.4307692 0.5007112 0.0000000
## WY 0.3249495 0.1514833 0.1696089 0.1606349
## Contig_3454178_19 Contig_3454679_93 Contig_3454926_79 Contig_3456622_27
## ORN 0.4000000 0.50000000 0.0000000 0.3250000
## ID 0.3116883 0.00000000 0.2467532 0.4545455
## ORS 0.1250000 0.50326797 0.3250000 0.2091503
## CA 0.2508711 0.45528455 0.4181185 0.1934566
## WY 0.4739947 0.05354462 0.0000000 0.3320755
## Contig_3456955_39 Contig_3461711_53 Contig_3462225_5 Contig_3463721_114
## ORN 0.00000000 0.3030303 0.00000000 0.1250000
## ID 0.09090909 0.4000000 0.09090909 0.0000000
## ORS 0.32500000 0.4285714 0.50000000 0.2091503
## CA 0.51428571 0.0000000 0.18461538 0.3857143
## WY 0.09734898 0.1274808 0.24528302 0.0000000
## Contig_3469633_29 Contig_3470465_51 Contig_3474404_21 Contig_3478060_102
## ORN 0.5250000 0.1250000 0.0000000 0.0000000
## ID 0.4848485 0.1731602 0.2467532 0.3626374
## ORS 0.4945055 0.0000000 0.5250000 0.0000000
## CA 0.0000000 0.2845528 0.0000000 0.0000000
## WY 0.3737138 0.3260124 0.2764518 0.1357199
## Contig_3489762_33 Contig_3493637_89 Contig_3500380_37 Contig_3501849_93
## ORN 0.0000000 0.0000000 0.00000000 0.0000000
## ID 0.3947368 0.3116883 0.36601307 0.1894737
## ORS 0.1250000 0.4848485 0.00000000 0.4945055
## CA 0.0500000 0.0000000 0.05882353 0.1493599
## WY 0.2434405 0.3242060 0.32744894 0.1685251
## Contig_3503554_100 Contig_3511413_4 Contig_3519134_54 Contig_3522170_28
## ORN 0.3626374 0.4000000 0.4090909 0.0000000
## ID 0.2467532 0.3116883 0.1731602 0.5238095
## ORS 0.0000000 0.2091503 0.5000000 0.0000000
## CA 0.4571429 0.2961538 0.3413940 0.0000000
## WY 0.2061240 0.3033989 0.1668057 0.3781513
## Contig_3522494_70 Contig_3526393_85 Contig_3529710_19 Contig_3530636_28
## ORN 0.1666667 0.4945055 0.0000000 0.0000000
## ID 0.0000000 0.4155844 0.4848485 0.0000000
## ORS 0.0000000 0.3250000 0.3660131 0.4248366
## CA 0.5158730 0.0500000 0.0000000 0.4307692
## WY 0.0000000 0.2884070 0.3897143 0.0000000
## Contig_3532612_13 Contig_3537647_15 Contig_3539244_27 Contig_3546576_61
## ORN 0.0000000 0.4090909 0.5333333 0.0000000
## ID 0.3368421 0.3626374 0.5064935 0.3679654
## ORS 0.3250000 0.4000000 0.5032680 0.0000000
## CA 0.5007112 0.4705882 0.5116279 0.0000000
## WY 0.3931275 0.4952381 0.5009253 0.2715152
## Contig_3559706_17 Contig_3564949_9 Contig_3566435_96 Contig_3569464_6
## ORN 0.0 0.5250000 0.23333333 0.4395604
## ID 0.0 0.5294118 0.09090909 0.0000000
## ORS 0.0 0.5250000 0.00000000 0.0000000
## CA 0.5 0.4746032 0.05882353 0.5080214
## WY 0.0 0.4528105 0.13845621 0.0000000
## Contig_3581851_74 Contig_3598593_46 Contig_3603907_35 Contig_3608630_21
## ORN 0.1428571 0.2333333 0.5000000 0.2333333
## ID 0.0000000 0.3368421 0.4545455 0.0000000
## ORS 0.2091503 0.5333333 0.5250000 0.5303030
## CA 0.5133690 0.5110337 0.4703833 0.4278075
## WY 0.0000000 0.1989122 0.4348670 0.0000000
## Contig_3609695_104 Contig_3615325_44 Contig_3628512_6 Contig_3630780_15
## ORN 0.1428571 0.12500000 0.4583333 0.5333333
## ID 0.1731602 0.17316017 0.3679654 0.5238095
## ORS 0.0000000 0.52287582 0.2941176 0.5294118
## CA 0.2857143 0.05263158 0.4126984 0.5012821
## WY 0.3019608 0.06118421 0.3351515 0.5045389
## Contig_3633287_72 Contig_3633711_79 Contig_3637941_28 Contig_3638505_88
## ORN 0.3250000 0.0000000 0.0000000 0.3626374
## ID 0.0000000 0.2467532 0.3679654 0.5064935
## ORS 0.0000000 0.0000000 0.4248366 0.1250000
## CA 0.0000000 0.4224751 0.0000000 0.0000000
## WY 0.1118229 0.2718778 0.1977401 0.4272957
## Contig_3642850_6 Contig_3655169_57 Contig_3655671_32 Contig_3662649_15
## ORN 0.2637363 0.12500000 0.2333333 0.5250000
## ID 0.2467532 0.09090909 0.3679654 0.0000000
## ORS 0.4000000 0.52500000 0.2941176 0.1111111
## CA 0.0000000 0.00000000 0.0000000 0.0974359
## WY 0.3938565 0.03959596 0.4522572 0.0000000
## Contig_3665211_60 Contig_3684519_41 Contig_3685394_6 Contig_3687150_25
## ORN 0.0000000 0.4945055 0.2637363 0.0000000
## ID 0.0000000 0.0000000 0.0000000 0.2467532
## ORS 0.0000000 0.3660131 0.2333333 0.3660131
## CA 0.2347084 0.4666667 0.3555556 0.5079365
## WY 0.1624927 0.0000000 0.0000000 0.1717105
## Contig_3690602_131 Contig_3693428_84 Contig_3699060_48 Contig_3719089_49
## ORN 0.4848485 0.1666667 0.40000000 0.4945055
## ID 0.0000000 0.4155844 0.00000000 0.4421053
## ORS 0.2333333 0.0000000 0.40000000 0.4000000
## CA 0.1934566 0.0000000 0.49361208 0.4438122
## WY 0.0000000 0.2137418 0.04613681 0.4106447
## Contig_3726404_65 Contig_3726834_53 Contig_3735305_103 Contig_3740639_25
## ORN 0.0000000 0.43956044 0.5274725 0.5000000
## ID 0.2684211 0.00000000 0.4545455 0.1731602
## ORS 0.0000000 0.49450549 0.4090909 0.5032680
## CA 0.0000000 0.09743590 0.4438122 0.3368984
## WY 0.1473016 0.01587302 0.4301718 0.1433906
## Contig_3746540_80 Contig_3751013_71 Contig_3753104_53 Contig_3753722_10
## ORN 0.0000000 0.1250000 0.4395604 0.4000000
## ID 0.0000000 0.0000000 0.3116883 0.3679654
## ORS 0.1250000 0.3250000 0.4000000 0.2941176
## CA 0.4571429 0.4907539 0.4907539 0.0000000
## WY 0.0212766 0.1161372 0.3061541 0.3741143
## Contig_3762989_87 Contig_3764648_69 Contig_3768703_55 Contig_3770960_38
## ORN 0.5333333 0.14285714 0.5250000 0.5333333
## ID 0.5194805 0.09090909 0.1731602 0.5238095
## ORS 0.5250000 0.11111111 0.2091503 0.5228758
## CA 0.5120910 0.18461538 0.0500000 0.5021142
## WY 0.4979616 0.06831237 0.1245098 0.4867024
## Contig_3775822_107 Contig_3780843_30 Contig_3792100_45 Contig_3795373_8
## ORN 0.0000000 0.00000000 0.5000000 0.1428571
## ID 0.1731602 0.09090909 0.2684211 0.4848485
## ORS 0.0000000 0.00000000 0.5294118 0.2941176
## CA 0.0000000 0.00000000 0.3960511 0.2845528
## WY 0.3285463 0.15892054 0.1006055 0.3897143
## Contig_3803247_34 Contig_3812393_12 Contig_3819366_67 Contig_3829419_37
## ORN 0.0000000 0.3626374 0.5333333 0.23333333
## ID 0.4155844 0.3116883 0.5238095 0.09090909
## ORS 0.0000000 0.0000000 0.5294118 0.47058824
## CA 0.0000000 0.1024182 0.5115385 0.45528455
## WY 0.1039178 0.2628827 0.5043436 0.04284354
## Contig_3836758_34 Contig_3853453_67 Contig_3864604_5 Contig_3871965_29
## ORN 0.0000000 0.1428571 0.0000000 0.00000000
## ID 0.3679654 0.3679654 0.0000000 0.00000000
## ORS 0.0000000 0.2091503 0.1428571 0.00000000
## CA 0.0000000 0.1423077 0.3086771 0.32820513
## WY 0.1596341 0.3565912 0.3559322 0.08913119
## Contig_3873759_22 Contig_3874839_10 Contig_3878000_105 Contig_3879477_14
## ORN 0.00000000 0.14285714 0.000000 0.5274725
## ID 0.09090909 0.24675325 0.000000 0.4545455
## ORS 0.00000000 0.36263736 0.000000 0.5294118
## CA 0.37126600 0.44354839 0.513369 0.3982930
## WY 0.12677371 0.05170005 0.000000 0.3368101
## Contig_3881784_95 Contig_3882935_50 Contig_3883806_20 Contig_3890567_5
## ORN 0.5250000 0.1250000 0.00000000 0.2333333
## ID 0.4155844 0.4848485 0.17316017 0.4545455
## ORS 0.5294118 0.0000000 0.11111111 0.1111111
## CA 0.4045977 0.0000000 0.08879493 0.4666667
## WY 0.3032138 0.2960103 0.15394402 0.2663001
## Contig_3893535_66 Contig_3894255_21 Contig_3896025_23 Contig_3897169_13
## ORN 0.5250000 0.4395604 0.23333333 0.00000000
## ID 0.4421053 0.2684211 0.48484848 0.00000000
## ORS 0.4000000 0.5294118 0.52287582 0.00000000
## CA 0.2845528 0.4779516 0.04761905 0.09291521
## WY 0.3093916 0.4336214 0.45054212 0.14211213
## Contig_3903266_29 Contig_3904501_13 Contig_3913932_21 Contig_3931197_78
## ORN 0.1428571 0.4848485 0.5000000 0.3250000
## ID 0.4848485 0.5032680 0.4848485 0.4545455
## ORS 0.5333333 0.5274725 0.1111111 0.2333333
## CA 0.3982930 0.4746032 0.2410148 0.0000000
## WY 0.3906997 0.4424370 0.4183007 0.4125457
## Contig_3934738_101 Contig_3935771_8 Contig_3954058_47 Contig_3978761_122
## ORN 0.5303030 0.5250000 0.2333333 0.00000000
## ID 0.1731602 0.4789474 0.3679654 0.36796537
## ORS 0.5000000 0.5000000 0.2091503 0.00000000
## CA 0.1300211 0.5076923 0.1423077 0.05263158
## WY 0.1518348 0.4791111 0.2398801 0.07910793
## Contig_3989008_16 Contig_3990825_20 Contig_4000989_49 Contig_4012291_57
## ORN 0.00000000 0.3626374 0.12500000 0.49450549
## ID 0.00000000 0.0000000 0.10000000 0.00000000
## ORS 0.00000000 0.3660131 0.32500000 0.11111111
## CA 0.38372093 0.2347084 0.35555556 0.13588850
## WY 0.03477721 0.0000000 0.01785714 0.06102362
## Contig_4031822_29 Contig_4032608_54 Contig_4035133_60 Contig_4037646_40
## ORN 0.0000000 0.00000000 0.5250000 0.5333333
## ID 0.4545455 0.00000000 0.5228758 0.5210526
## ORS 0.1111111 0.29411765 0.5333333 0.5294118
## CA 0.2994652 0.40897436 0.4126984 0.5075494
## WY 0.3109091 0.01818182 0.4628571 0.5010488
## Contig_4040799_3 Contig_4061604_9 Contig_4073113_33 Contig_4085381_4
## ORN 0.0000000 0.1250000 0.5333333 0.5274725
## ID 0.0000000 0.0000000 0.5238095 0.5263158
## ORS 0.1250000 0.4705882 0.5333333 0.5294118
## CA 0.0000000 0.1493599 0.5080214 0.5075494
## WY 0.1568733 0.0000000 0.4758801 0.4909520
## Contig_4095345_15 Contig_4101688_11 Contig_4102253_52 Contig_4105924_58
## ORN 0.0000000 0.5384615 0.4395604 0.0000000
## ID 0.2467532 0.5194805 0.3116883 0.4848485
## ORS 0.4705882 0.5250000 0.1111111 0.0000000
## CA 0.3716609 0.5075494 0.0000000 0.0000000
## WY 0.1057778 0.4812356 0.4478372 0.3924528
## Contig_4108144_106 Contig_4114899_70 Contig_4117792_7 Contig_4117879_78
## ORN 0.2637363 0.52747253 0.5333333 0.0000000
## ID 0.0000000 0.00000000 0.5238095 0.2684211
## ORS 0.0000000 0.50000000 0.5294118 0.4583333
## CA 0.4224751 0.00000000 0.5116279 0.5151515
## WY 0.1877808 0.08070175 0.5033994 0.1059190
## Contig_4120564_16 Contig_4127678_57 Contig_4135685_54 Contig_4139900_20
## ORN 0.5384615 0.23333333 0.5384615 0.5384615
## ID 0.5228758 0.09090909 0.5194805 0.4848485
## ORS 0.5384615 0.00000000 0.5274725 0.5000000
## CA 0.5080214 0.48387097 0.5012821 0.4888889
## WY 0.4813385 0.01818182 0.4867449 0.4959569
## Contig_4154145_48 Contig_4193367_6 Contig_4197464_16 Contig_4213112_54
## ORN 0.2333333 0.2637363 0.4945055 0.4583333
## ID 0.4545455 0.0000000 0.3679654 0.5032680
## ORS 0.1111111 0.5032680 0.4000000 0.5250000
## CA 0.0000000 0.5126984 0.3712660 0.4365079
## WY 0.4663428 0.0000000 0.2314465 0.4292026
## Contig_4214004_20 Contig_4222956_51
## ORN 0.32500000 0.50000000
## ID 0.09090909 0.52380952
## ORS 0.20915033 0.00000000
## CA 0.00000000 0.04761905
## WY 0.20704633 0.48614429
##
## $Hb
## [1] 0.46793317 0.50000000 0.35978496 0.49960278 0.11261535 0.04890152
## [7] 0.47891365 0.46608355 0.49263158 0.41918750 0.50249151 0.22824074
## [13] 0.19048295 0.49869403 0.44283234 0.49841926 0.10111797 0.50000000
## [19] 0.50380638 0.04537313 0.45798236 0.16468141 0.49894147 0.18901395
## [25] 0.23063492 0.50000000 0.28837577 0.19999308 0.27975754 0.50675000
## [31] 0.28433673 0.49460988 0.15072464 0.15894389 0.48546474 0.11008772
## [37] 0.49968944 0.34207386 0.15399306 0.11243056 0.10038961 0.44598997
## [43] 0.44534342 0.49861702 0.19564007 0.46139784 0.41459318 0.42123652
## [49] 0.21410256 0.31752920 0.10857843 0.50805539 0.46970360 0.30314598
## [55] 0.39534176 0.34465318 0.52980083 0.41448271 0.15130013 0.29730215
## [61] 0.32428116 0.20467172 0.31076555 0.19269006 0.19783417 0.33345581
## [67] 0.12075472 0.14700196 0.18705693 0.15246338 0.08524590 0.39260755
## [73] 0.10000000 0.27522556 0.35887188 0.41223298 0.50000000 0.13000000
## [79] 0.49677731 0.11764706 0.30445756 0.26827603 0.10435857 0.13035714
## [85] 0.22990431 0.18073318 0.43346395 0.29890603 0.40696023 0.26474673
## [91] 0.20790179 0.31743000 0.49158654 0.37407008 0.43257785 0.17104910
## [97] 0.21428571 0.43250444 0.48873232 0.16389746 0.52523923 0.18309091
## [103] 0.19149660 0.49642385 0.12977819 0.49091517 0.07463578 0.46308804
## [109] 0.11259968 0.49629142 0.50000000 0.36432323 0.11578947 0.20596830
## [115] 0.45550836 0.50000000 0.04000000 0.38041419 0.15716954 0.49812834
## [121] 0.38080379 0.49945455 0.09818182 0.49119908 0.49931818 0.47892011
## [127] 0.22510593 0.09556144 0.26061565 0.30841270 0.46718631 0.46954535
## [133] 0.43496914 0.46309239 0.22172932 0.23750000 0.48371148 0.41548959
## [139] 0.26103896 0.43501054 0.29615072 0.36048601 0.32323194 0.33726364
## [145] 0.29785714 0.13333333 0.27167217 0.37632675 0.39576306 0.20501377
## [151] 0.14150198 0.22526122 0.50716964 0.11766724 0.49996599 0.23664773
## [157] 0.36605867 0.13342532 0.16862745 0.31013339 0.22258556 0.24795739
## [163] 0.27917048 0.13883986 0.20701754 0.36704460 0.32663062 0.26077266
## [169] 0.44113468 0.24091974 0.27549033 0.54103785 0.15190299 0.22902136
## [175] 0.12570621 0.38330231 0.35642026 0.38725126 0.50000000 0.49967062
## [181] 0.49662372 0.08484848 0.49986111 0.28611460 0.39889926 0.16451939
## [187] 0.17917822 0.40054383 0.52726954 0.28061952 0.18838384 0.28332431
## [193] 0.16645224 0.31859926 0.21269841 0.24555529 0.12631579 0.42140614
## [199] 0.28010936 0.29581806 0.19077841 0.20471380 0.36848951 0.06534674
## [205] 0.33186475 0.40789474 0.15610269 0.31410923 0.22171520 0.28976608
## [211] 0.51404486 0.50930288 0.50000000 0.11279449 0.08508475 0.11188811
## [217] 0.23428409 0.04000000 0.27795185 0.35499579 0.33875100 0.13525424
## [223] 0.26450364 0.40393152 0.48101653 0.10728088 0.23275510 0.50000000
## [229] 0.49270833 0.19920949 0.17627543 0.43223825 0.50000000 0.41128788
## [235] 0.43982942 0.18930818 0.19681499 0.28125398 0.16825650 0.29306713
## [241] 0.46174769 0.49750861 0.49904255 0.44721137 0.09877024 0.10784483
## [247] 0.39954475 0.11905594 0.24505851 0.36250000 0.22898608 0.49050607
## [253] 0.17529762 0.38465678 0.13408602 0.09123946 0.14172865 0.09070556
## [259] 0.13333333 0.19898525 0.16750000 0.07048656 0.49822283 0.42875000
## [265] 0.49922078 0.31064286 0.48075410 0.12500000 0.32546413 0.50910300
## [271] 0.34140625 0.12222222 0.29451253 0.05560272 0.51243510 0.23255471
## [277] 0.47399387 0.37452273 0.09285714 0.15642292 0.14136364 0.28699597
## [283] 0.39448737 0.23936081 0.50934692 0.42425589 0.07898659 0.05438596
## [289] 0.40564007 0.17254902 0.26677398 0.16011550 0.50000000 0.11582206
## [295] 0.24022380 0.37485971 0.20178571 0.20474819 0.43355288 0.11428571
## [301] 0.38653556 0.32247882 0.11206710 0.50022885 0.21183862 0.45024141
## [307] 0.32034124 0.17978153 0.43416134 0.40142455 0.54701492 0.26613520
## [313] 0.11760776 0.49097329 0.30120614 0.18043831 0.31952441 0.32232143
## [319] 0.17194930 0.37301519 0.45249948 0.50020661 0.49610453 0.48169113
## [325] 0.39893312 0.49661864 0.47219048 0.42440242 0.40273632 0.46487825
## [331] 0.50654178 0.16511760 0.32314226 0.13223140 0.47806490 0.08828370
## [337] 0.16047411 0.49960128 0.29950821 0.46415942 0.51611570 0.18087034
## [343] 0.18867857 0.50170106 0.37054317 0.19251236 0.10019103 0.10476190
## [349] 0.46925979 0.37222380 0.50000000 0.28728782 0.24626085 0.17180080
## [355] 0.17446677 0.07571429 0.43800705 0.28053333 0.44472064 0.27221245
## [361] 0.12873134 0.48742833 0.48874269 0.28197105 0.40165665 0.32380276
## [367] 0.50031146 0.41309410 0.21786874 0.24501634 0.42778177 0.22050265
## [373] 0.49614955 0.48329292 0.50000000 0.48654918 0.32687500 0.15457204
## [379] 0.31000000 0.32640242 0.47378362 0.10597107 0.14001623 0.42654029
## [385] 0.45078768 0.49925694 0.18899129 0.08235294 0.22127193 0.15422841
## [391] 0.34467464 0.28525104 0.19115397 0.51058517 0.44639120 0.47458494
## [397] 0.45480915 0.19331551 0.39774498 0.47410595 0.21060606 0.50000000
## [403] 0.12308593 0.46158678 0.40246897 0.30463745 0.52163379 0.29967000
## [409] 0.20884091 0.14885013 0.15158730 0.44948980 0.46921046 0.21902357
## [415] 0.49993687 0.32263312 0.27682728 0.31939665 0.33498119 0.32907580
## [421] 0.32832930 0.15184066 0.19034151 0.30366838 0.49434615 0.19463012
## [427] 0.22265396 0.21372936 0.43014427 0.49434657 0.52246633 0.36591893
## [433] 0.48915708 0.30131250 0.17816124 0.22520202 0.35259740 0.48500973
## [439] 0.36988636 0.50000000 0.50000000 0.16406061 0.42015694 0.22031250
## [445] 0.49887427 0.38704917 0.35805750 0.19356725 0.16374269 0.35973312
## [451] 0.49329637 0.37433999 0.21625554 0.14891416 0.52151026 0.15555556
## [457] 0.26818182 0.22625000 0.49535065 0.47128041 0.41856498 0.36350649
## [463] 0.15533333 0.29370220 0.09729339 0.21669573 0.05308442 0.36506841
## [469] 0.12066667 0.50671451 0.21674107 0.39025510 0.13019637 0.06679842
## [475] 0.32587034 0.31018308 0.33806154 0.48035302 0.32246753 0.48758455
## [481] 0.49918288 0.14609375 0.09919980 0.33420765 0.25882164 0.40673597
## [487] 0.20158032 0.37662391 0.10168135 0.48624803 0.51305349 0.09333469
## [493] 0.26863636 0.36224592 0.48944036 0.31219728 0.13697090 0.53267498
## [499] 0.19994333 0.15137255 0.25476960 0.12799745 0.30630500 0.31584651
## [505] 0.27896940 0.38089111 0.49214743 0.40145185 0.16377841 0.29829080
## [511] 0.20390963 0.29071429 0.19047619 0.27995045 0.48711812 0.08678434
## [517] 0.12319312 0.33432037 0.50994454 0.51986338 0.28760827 0.49471173
## [523] 0.28178357 0.35904545 0.08377897 0.52838876 0.34056566 0.42435678
## [529] 0.29687948 0.33540499 0.38762362 0.22933255 0.52873502 0.16352814
## [535] 0.25917881 0.20977702 0.17088816 0.07639296 0.55711912 0.29406121
## [541] 0.05964912 0.45913042 0.24504132 0.10328361 0.13855932 0.37071631
## [547] 0.22251462 0.42526215 0.10449735 0.07525253 0.43246972 0.07339545
## [553] 0.21668836 0.40134584 0.12283654 0.49968652 0.26742598 0.20013228
## [559] 0.46290927 0.41806034 0.07386364 0.26401559 0.45138820 0.30706346
## [565] 0.22955395 0.44934054 0.52342011 0.51220545 0.46229871 0.22851250
## [571] 0.44552804 0.20000000 0.21894737 0.40906078 0.47059975 0.46183780
## [577] 0.10723304 0.34706562 0.49752066 0.22353896 0.41064078 0.23291667
## [583] 0.48161513 0.15651801 0.11000000 0.19996908 0.22936543 0.14666344
## [589] 0.28405502 0.50000000 0.39936350 0.48016199 0.24879467 0.19161946
## [595] 0.16445982 0.09595960 0.31402591 0.46410031 0.39675325 0.53718434
## [601] 0.15617271 0.13962264 0.42550030 0.07523524 0.33617077 0.50000000
## [607] 0.29143991 0.48082707 0.25754639 0.36623431 0.15277462 0.34118797
## [613] 0.14907692 0.05200000 0.23714344 0.34544218 0.16869977 0.38114526
## [619] 0.24238576 0.15310319 0.16214286 0.34642857 0.52597107 0.26870192
## [625] 0.23888975 0.48325996 0.48805272 0.38279722 0.40944862 0.09689369
## [631] 0.29357993 0.41734568 0.46566593 0.24321392 0.12000000 0.19068554
## [637] 0.19152412 0.55475478 0.30145544 0.12723648 0.49524254 0.34692571
## [643] 0.42872024 0.45194565 0.07292070 0.39042301 0.37446154 0.27231387
## [649] 0.12317791 0.10639205 0.36424713 0.46972388 0.18301948 0.14916667
## [655] 0.43948290 0.36381129 0.23979592 0.50000000 0.13888889 0.28112002
## [661] 0.08397129 0.54031634 0.52790414 0.29174136 0.04974576 0.51550545
## [667] 0.22022412 0.09801587 0.31897321 0.40146220 0.49839015 0.32515222
## [673] 0.42367683 0.22095016 0.40018768 0.29329956 0.09624369 0.13820859
## [679] 0.30627477 0.35993047 0.11970064 0.53751956 0.43963540 0.20923232
## [685] 0.15561167 0.18133333 0.18458916 0.22226792 0.24496454 0.34874238
## [691] 0.16179372 0.46184464 0.18814416 0.38634710 0.41722028 0.28740908
## [697] 0.48532993 0.13363844 0.22247538 0.15380117 0.49445953 0.49996706
## [703] 0.51467027 0.48071621 0.49104311 0.42925553 0.35863228 0.13316498
## [709] 0.05975842 0.12481157 0.18947368 0.41846093 0.18727227 0.18408019
## [715] 0.49780680 0.22977092 0.50637809 0.18613137 0.47261438 0.50007576
## [721] 0.13400191 0.49394249 0.47377451 0.49204666 0.05663189 0.11428571
## [727] 0.47872769 0.26388889 0.40155450 0.42096813 0.38079544 0.14820610
## [733] 0.11769723 0.22299383 0.42379817 0.21548085 0.37012987 0.50000000
## [739] 0.26316494 0.49484375 0.20972222 0.51297729 0.30911276 0.39725753
## [745] 0.47964675 0.44735902 0.22299182 0.15112190 0.49374357 0.49967990
## [751] 0.09681818 0.45323290 0.09129353 0.16406250 0.34642857 0.43165647
## [757] 0.37837745 0.18070980 0.46270576 0.07282153 0.45850566 0.17754329
## [763] 0.50569539 0.17788685 0.18360071 0.17703328 0.50000000 0.45042532
## [769] 0.12642857 0.17331413 0.28746032 0.19466206 0.22188757 0.22977593
## [775] 0.14926625 0.15477941 0.33646595 0.22300413 0.41246151 0.19024078
## [781] 0.50000000 0.06724599 0.32315857 0.26594746 0.45439815 0.38088660
## [787] 0.44711985 0.49498934 0.51298581 0.06800357 0.31747727 0.25279605
## [793] 0.12403725 0.13781841 0.40888672 0.28700643 0.37271451 0.48826681
## [799] 0.31684143 0.38027586 0.35755664 0.22081353 0.14422115 0.31965517
## [805] 0.49991319 0.21750000 0.28971681 0.26111345 0.09967287 0.18750000
## [811] 0.50427167 0.46047294 0.48252623 0.51253411 0.51970165 0.14347944
## [817] 0.13733944 0.22160842 0.29700235 0.38408205 0.46005892 0.33395749
## [823] 0.32856628 0.31254992 0.29424865 0.48790476 0.43388889 0.49162257
## [829] 0.20000000 0.50279412 0.48930541 0.22432594 0.10235247 0.50000000
## [835] 0.17745455 0.40191992 0.17008929 0.41642321 0.27879464 0.18428030
## [841] 0.26649300 0.31703803 0.20370370 0.13878365 0.48163246 0.18583333
## [847] 0.15714286 0.49976852 0.49088240 0.22076446 0.46810905 0.21380024
## [853] 0.40851780 0.11418182 0.26181139 0.10187027 0.46273888 0.12702020
## [859] 0.21188462 0.17562706 0.08333333 0.09927273 0.48179416 0.48961174
## [865] 0.47156863 0.13015873 0.35661765 0.33283087 0.47601845 0.11084126
## [871] 0.15464448 0.16859539 0.11675485 0.14680225 0.49663515 0.15056818
## [877] 0.36554725 0.32990130 0.24310478 0.21645854 0.27682728 0.40086580
## [883] 0.14709060 0.04285714 0.50013021 0.24234184 0.29545840 0.30713248
## [889] 0.20144300 0.14320574 0.14319897 0.50114286 0.21179337 0.50000000
## [895] 0.45975962 0.17891156 0.15759259 0.25790699 0.41141222 0.34096290
## [901] 0.38238254 0.16841270 0.41109890 0.18477264 0.27407403 0.52131279
## [907] 0.16384488 0.23105143 0.42547310 0.15915145 0.21197152 0.26257081
## [913] 0.48840823 0.15256236 0.50738342 0.50000000 0.50000000 0.25422890
## [919] 0.21599327 0.39852608 0.35405344 0.50250090 0.50821240 0.37092489
## [925] 0.50000000 0.37473451 0.25331818 0.19277993 0.26666667 0.19482746
## [931] 0.30606908 0.49656126 0.43730541 0.25351630 0.23502929 0.27426901
## [937] 0.24275300 0.43930216 0.11584022 0.24189050 0.36153948 0.47876081
## [943] 0.30082418 0.39420876 0.45934601 0.40360235 0.48803412 0.30957071
## [949] 0.20534650 0.20740741 0.37594332 0.51518103 0.08867941 0.52724228
## [955] 0.28502174 0.16389738 0.47842626 0.13850492 0.18458678 0.28013142
## [961] 0.26610672 0.12846154 0.27235020 0.41304325 0.47834864 0.14914730
## [967] 0.40903047 0.49774115 0.35876025 0.15294118 0.51348040 0.29738931
## [973] 0.45126511 0.18657792 0.26781250 0.10378289 0.45272367 0.51114073
## [979] 0.52675373 0.16593228 0.27663006 0.51136203 0.28339912 0.06787365
## [985] 0.20180698 0.40400735 0.38376736 0.53203747 0.14092334 0.10227778
## [991] 0.44951981 0.51588197 0.16634349 0.11060606 0.15073446 0.31841898
## [997] 0.27326531 0.47289073 0.14157197 0.16700000 0.12618639 0.44779308
## [1003] 0.27697344 0.16180556 0.16377841 0.11428571 0.18750000 0.21846395
## [1009] 0.40219244 0.36977403 0.03859649 0.16000000 0.09696970 0.19998918
## [1015] 0.06471861 0.13637393 0.08385075 0.37460909 0.06872111 0.18362573
## [1021] 0.42669496 0.20334928 0.06989796 0.17454545 0.22339181 0.14018443
## [1027] 0.36250000 0.48858331 0.09702709 0.50000000 0.30365815 0.37023810
## [1033] 0.24441051 0.47904583 0.20990021 0.36537901 0.34915123 0.21502763
## [1039] 0.24394770 0.17467532 0.20542854 0.41262657 0.50000000 0.34834184
## [1045] 0.46955009 0.15844156 0.11549874 0.12850742 0.26264558 0.46568405
## [1051] 0.16458333 0.48808985 0.49653571 0.30714286 0.50489434 0.23367347
## [1057] 0.43470247 0.18230287 0.49234115 0.22052342 0.51648526 0.06755952
## [1063] 0.51385554 0.13416518 0.12625092 0.26046796 0.26617605 0.26113636
## [1069] 0.14693878 0.09648437 0.38907105 0.39031720 0.21493506 0.13141339
## [1075] 0.12352941 0.23973545 0.19484375 0.31803451 0.37156061 0.41082798
## [1081] 0.28789683 0.50003401 0.10246027 0.25415801 0.35682650 0.22426471
## [1087] 0.18916256 0.20000000 0.29255289 0.08121775 0.49182862 0.48440715
## [1093] 0.48525157 0.16014876 0.11168831 0.49429392 0.50157670 0.41655012
## [1099] 0.17007212 0.47911473 0.24098569 0.14750000 0.20451128 0.16785714
## [1105] 0.26879735 0.47904204 0.16041667 0.24960768 0.41037793 0.17217909
## [1111] 0.20418821 0.16503497 0.43266084 0.37022534 0.36304282 0.48994518
## [1117] 0.20272015 0.16666667 0.41136364 0.50178787 0.50325893 0.23229754
## [1123] 0.46679489 0.49854312 0.17470561 0.39711980 0.47804972 0.18172635
## [1129] 0.36675063 0.27441223 0.18583050 0.43615520 0.44480937 0.25710441
## [1135] 0.08068182 0.26286312 0.19369222 0.35152699 0.22647849 0.16476978
## [1141] 0.39700461 0.23737374 0.46113816 0.22396329 0.34541414 0.32326862
## [1147] 0.19288614 0.16678005 0.28372299 0.44632666 0.18990120 0.33023448
## [1153] 0.41377335 0.48176621 0.09816327 0.25316051 0.53734120 0.22171329
## [1159] 0.10115497 0.15452824 0.22391791 0.42803600 0.42747417 0.08123232
## [1165] 0.50000000 0.19220679 0.50598521 0.51349351 0.24170022 0.52982318
## [1171] 0.49747397 0.13992347 0.25329026 0.17406015 0.31412037 0.09428571
## [1177] 0.34431029 0.15406699 0.14298839 0.08750000 0.22077922 0.27337037
## [1183] 0.14249212 0.19647886 0.31331014 0.41109356 0.50494372 0.49925000
## [1189] 0.47146465 0.25902869 0.19849624 0.16413294 0.44416306 0.45408497
## [1195] 0.14633603 0.35760446 0.38597953 0.29585736 0.28071429 0.49763593
## [1201] 0.50383061 0.23815789 0.11304103 0.09644269 0.34005769 0.40176742
## [1207] 0.21964286 0.21000327 0.41830357 0.43906780 0.33033120 0.33443859
## [1213] 0.12137118 0.06782107 0.38752437 0.39671346 0.41315940 0.25032497
## [1219] 0.34795369 0.38727869 0.31453935 0.33906905 0.24839833 0.24722769
## [1225] 0.17697727 0.36619778 0.14687073 0.09882212 0.38163407 0.51023815
## [1231] 0.18715067 0.13217593 0.49557955 0.11622366 0.15833333 0.37831384
## [1237] 0.18745245 0.28137755 0.21829738 0.18634259 0.09575758 0.22660653
## [1243] 0.40744288 0.50321123 0.22900053 0.07136364 0.22223835 0.48661202
## [1249] 0.39532989 0.36733549 0.26297292 0.50000000 0.41622045 0.36943483
## [1255] 0.47007576 0.25445941 0.17647059 0.16942573 0.10970149 0.33467979
## [1261] 0.41797650 0.14417863 0.08654085 0.21493506 0.42022996 0.46209711
## [1267] 0.24385965 0.20589349 0.36917546 0.12255047 0.22800000 0.20322842
## [1273] 0.41773132 0.49785714 0.33402778 0.18210227 0.42207616 0.45736331
## [1279] 0.39767981 0.50000000 0.15614973 0.25110334 0.53216266 0.19908964
## [1285] 0.49855371 0.10447330 0.04912281 0.27177087 0.19593914 0.36970845
## [1291] 0.13009259 0.20118798 0.18928571 0.48258710 0.10731776 0.07802113
## [1297] 0.13630158 0.13981191 0.44875518 0.52202295 0.48143421 0.46164185
## [1303] 0.46256314 0.16589842 0.37262951 0.48320278 0.50460824 0.45060126
## [1309] 0.34195806 0.19860984 0.51409632 0.31588423 0.50718726 0.09876543
## [1315] 0.46078125 0.13127463 0.23009868 0.46575964 0.16155600 0.37593452
## [1321] 0.50687353 0.41908602 0.49992958 0.24399206 0.26610463 0.49975490
## [1327] 0.34191013 0.26316739 0.55671718 0.20000000 0.33803191 0.43509838
## [1333] 0.19162334 0.14022727 0.17700085 0.43414299 0.32076213 0.54863430
## [1339] 0.49056112 0.17717762 0.39346202 0.49929256 0.21212432 0.42751666
## [1345] 0.13156250 0.19966050 0.20216450 0.44352273 0.31549072 0.50208333
## [1351] 0.06645408 0.16321487 0.18149398 0.40064109 0.07238422 0.10528974
## [1357] 0.47426777 0.29615457 0.37042839 0.18636769 0.16650735 0.13195187
## [1363] 0.22479668 0.52270687 0.23444829 0.22955742 0.30043663 0.29702266
## [1369] 0.47441478 0.17769136 0.10417180 0.13852201 0.35244657 0.48004812
## [1375] 0.14156288 0.51069971 0.46978778 0.39033260 0.26888045 0.36259237
## [1381] 0.17031250 0.13454545 0.08172348 0.22142857 0.12047123 0.27623579
## [1387] 0.50046875 0.49491280 0.15396825 0.33908306 0.25563272 0.47872492
## [1393] 0.40374635 0.18027211 0.43950798 0.07179803 0.32076585 0.14088068
## [1399] 0.15655556 0.51212351 0.25157376 0.38035689 0.14361111 0.32087558
## [1405] 0.15731534 0.24467778 0.48234036 0.21722727 0.06413223 0.48744500
## [1411] 0.33950747 0.53245576 0.12707612 0.14889962 0.08116883 0.38919062
## [1417] 0.09169444 0.21145833 0.44641958 0.23040353 0.44224905 0.30289649
## [1423] 0.31250000 0.36699696 0.16276803 0.31089367 0.41575397 0.06666667
## [1429] 0.22678571 0.08994118 0.50184119 0.32397051 0.18167116 0.40328924
## [1435] 0.49016698 0.47497374 0.31272781 0.14923611 0.19816984 0.41291466
## [1441] 0.24491664 0.46996570 0.46723644 0.22619048 0.35305797 0.32087877
## [1447] 0.23454226 0.20904096 0.24543696 0.47512019 0.12544444 0.20295271
## [1453] 0.50246527 0.10071845 0.09963343 0.50000000 0.25012922 0.25632716
## [1459] 0.30309339 0.31370098 0.48090647 0.51922832 0.44994856 0.10519481
## [1465] 0.29569161 0.36752398 0.49251712 0.35204035 0.13888889 0.11375661
## [1471] 0.09532086 0.17931034 0.10839627 0.10440917 0.33597585 0.43020823
## [1477] 0.10427171 0.06679842 0.37009769 0.13148082 0.17854561 0.52781632
## [1483] 0.13007519 0.32692223 0.49908467 0.18709016 0.48051045 0.54848358
## [1489] 0.10041958 0.20789242 0.29458835 0.46458333 0.38421945 0.33048042
## [1495] 0.50000000 0.53757249 0.26896333 0.03870968 0.28097805 0.48662052
## [1501] 0.18517544 0.49170516 0.48764854 0.16045238 0.27200898 0.26094225
## [1507] 0.12539683 0.36419006 0.42811742 0.14727273 0.42065065 0.27522096
## [1513] 0.22245989 0.31936027 0.23299684 0.14036954 0.22338437 0.15868056
## [1519] 0.31735354 0.30167796 0.09074632 0.33441558 0.52167464 0.36470734
## [1525] 0.40800628 0.14488636 0.32606908 0.40006299 0.20795455 0.33870325
## [1531] 0.14911805 0.06528926 0.31397177 0.09084975 0.49599245 0.44185556
## [1537] 0.09239420 0.22878706 0.24553289 0.51551501 0.51891091 0.14733992
## [1543] 0.46732824 0.49897541 0.34346688 0.20891831 0.35421321 0.20680556
## [1549] 0.13244755 0.20784771 0.49194790 0.49705443 0.19920049 0.21146801
## [1555] 0.48061869 0.43238355 0.49524148 0.17131607 0.44508540 0.29950759
## [1561] 0.24864630 0.30963319 0.30964258 0.10063776 0.44759577 0.09652406
## [1567] 0.19394148 0.19548872 0.40460229 0.31059121 0.18645833 0.44848485
## [1573] 0.27374339 0.11523211 0.26433924 0.21034153 0.14898148 0.49210098
## [1579] 0.47256944 0.29943568 0.50000000 0.23133542 0.10526316 0.50000000
## [1585] 0.13147436 0.33857372 0.13855911 0.27713068 0.26570825 0.12796184
## [1591] 0.22984408 0.43389610 0.36705775 0.50868459 0.31566061 0.16338271
## [1597] 0.25757576 0.50804433 0.31512111 0.47191542 0.46934093 0.40050087
## [1603] 0.27517275 0.39600724 0.25765862 0.56662753 0.24811608 0.19662534
## [1609] 0.15162808 0.14747475 0.22654545 0.13603306 0.19245948 0.24764637
## [1615] 0.50876274 0.18760331 0.52467682 0.23134347 0.45153614 0.30296674
## [1621] 0.16330782 0.09322067 0.33618701 0.41787530 0.47266901 0.16599889
## [1627] 0.17057113 0.19830381 0.32723856 0.47877861 0.19250000 0.23180000
## [1633] 0.30312500 0.36406593 0.08991597 0.51782861 0.22404514 0.45158279
## [1639] 0.50775452 0.52024325 0.13459219 0.49407627 0.06619318 0.44173160
## [1645] 0.16939964 0.27145401 0.24618821 0.50897218 0.10861601 0.17272727
## [1651] 0.50000000 0.46627210 0.16441023 0.43783143 0.27926542 0.46282061
## [1657] 0.24489796 0.33859261 0.36527778 0.38100942 0.18137836 0.46430251
## [1663] 0.48724415 0.49757806 0.45984674 0.37222896 0.44893658 0.52275274
## [1669] 0.42875868 0.31750478 0.41412959 0.33418367 0.15238095 0.38406185
## [1675] 0.44418565 0.40399982 0.28514984 0.20118056 0.21418182 0.17020202
## [1681] 0.51747792 0.16898396 0.43771837 0.24985297 0.40568986 0.41421846
## [1687] 0.48595238 0.08846801 0.24105010 0.38839286 0.44216880 0.23135101
## [1693] 0.40207488 0.19671875 0.37837524 0.50992670 0.50228410 0.22277563
## [1699] 0.50068670 0.32584541 0.27925000 0.39953727 0.46350000 0.08667712
## [1705] 0.22721344 0.28941842 0.06413223 0.09766234 0.16850765 0.50468750
## [1711] 0.14704258 0.31157407 0.49991115 0.25304649 0.13156250 0.41782702
## [1717] 0.38666958 0.13866071 0.20442800 0.43593559 0.41630347 0.48276786
## [1723] 0.26376447 0.15389965 0.05830357 0.07142857 0.22625421 0.17729737
## [1729] 0.26937557 0.43620771 0.46088265 0.16918501 0.32958399 0.30598958
## [1735] 0.20955309 0.55520587 0.24689966 0.49350160 0.14790296 0.11715260
## [1741] 0.28251595 0.30436965 0.25728828 0.14814342 0.30822059 0.50567692
## [1747] 0.17442555 0.53941353 0.29857922 0.51879386 0.54885345 0.25506225
## [1753] 0.47275457 0.15747354 0.35194923 0.45348383 0.41563867 0.16604938
## [1759] 0.51039616 0.14117647 0.22664577 0.40938352 0.50000000 0.35771865
## [1765] 0.41318429 0.13030303 0.50602965 0.19409341 0.25238095 0.19811480
## [1771] 0.26972705 0.31973310 0.41354389 0.48733443 0.50000000 0.29748144
## [1777] 0.45555653 0.46866282 0.50003342 0.44334694 0.44140664 0.52526417
## [1783] 0.42361330 0.26931232 0.17089314 0.13263889 0.38185185 0.34506579
## [1789] 0.52692370 0.08681200 0.36919375 0.50389578 0.38001391 0.23477183
## [1795] 0.12500000 0.15672830 0.33141792 0.42140815 0.27558390 0.52200000
## [1801] 0.19555556 0.06294274 0.30964837 0.34757422 0.32406994 0.32892562
## [1807] 0.14185814 0.17372327 0.43406704 0.22009916 0.48273477 0.12434821
## [1813] 0.08922001 0.51882845 0.20918861 0.26351392 0.19145801 0.39361738
## [1819] 0.29759257 0.21702978 0.16589848 0.49638771 0.46672815 0.18988270
## [1825] 0.14630682 0.46482987 0.13209647 0.06704545 0.19950788 0.32553828
## [1831] 0.10113636 0.45343819 0.28048822 0.12968192 0.31995489 0.46233769
## [1837] 0.24458109 0.27786458 0.50612351 0.49911210 0.36883651 0.34451754
## [1843] 0.10342772 0.18739496 0.15185065 0.08149808 0.17840909 0.43006614
## [1849] 0.48112281 0.48832099 0.33329934 0.31956362 0.30788961 0.46985158
## [1855] 0.14768421 0.48810156 0.30627583 0.40395407 0.50000000 0.16374269
## [1861] 0.28333333 0.10526316 0.24690934 0.06867156 0.37733871 0.49967965
## [1867] 0.49547930 0.29066155 0.12088439 0.28079861 0.51653594 0.50618888
## [1873] 0.35342243 0.40244468 0.10722222 0.33040249 0.19314516 0.24118006
## [1879] 0.14825094 0.26919981 0.28655355 0.05125874 0.34082386 0.18719481
## [1885] 0.19537750 0.32175325 0.40838299 0.47485450 0.50099790 0.20982620
## [1891] 0.42221960 0.43460004 0.49805977 0.51844370 0.18799569 0.31591231
## [1897] 0.54512936 0.39563265 0.39437393 0.43149548 0.32276190 0.39292764
## [1903] 0.21921285 0.10529172 0.42943909 0.28798138 0.52833970 0.07346561
## [1909] 0.26268395 0.06375000 0.15672215 0.22527105 0.44560345 0.32641162
## [1915] 0.17110360 0.50513468 0.41484287 0.51112020 0.19201681 0.16998433
## [1921] 0.49735175 0.33532560 0.07449923 0.26226551 0.21351280 0.48900791
## [1927] 0.50190894 0.49796022 0.28555070 0.43263889 0.16934066 0.23125000
## [1933] 0.23170799 0.28967262 0.39735714 0.52833402 0.49734623 0.05000000
## [1939] 0.33383663 0.49154313 0.11216108 0.25915067 0.31786364 0.26327397
## [1945] 0.19008621 0.37989079 0.45711835 0.31458931 0.25420072 0.26850076
## [1951] 0.34247283 0.29244818 0.30496885 0.09722383 0.06715543 0.33667436
## [1957] 0.44505376 0.32994761 0.46518474 0.13884549 0.17824675 0.06282051
## [1963] 0.42288316 0.34200000 0.28054683 0.49015699 0.48151740 0.27284392
## [1969] 0.10259740 0.48966402 0.23724490 0.25873016 0.49847826 0.53009039
## [1975] 0.27135642 0.33698841 0.05451948 0.08470588 0.50006849 0.44431558
## [1981] 0.48629813 0.50620228 0.49753287 0.09882212 0.17132075 0.48511480
## [1987] 0.34853786 0.22934171 0.16352177 0.32282874 0.21781250 0.20417446
## [1993] 0.28340967 0.49846467 0.19499621 0.11475524 0.10296610 0.14958056
## [1999] 0.30115780 0.28646905 0.32398126 0.37372149 0.26795022 0.49531746
## [2005] 0.19919139 0.18282390 0.50164827 0.19998834 0.50440085 0.23740922
## [2011] 0.26179924 0.45620592 0.44186499 0.49792373 0.35051748 0.26387871
## [2017] 0.30044935 0.49598082 0.29258776 0.20078384 0.08465097 0.39234694
## [2023] 0.12223528 0.51689312 0.51572697 0.49889190 0.21499203 0.17696078
## [2029] 0.11478432 0.17023569 0.36288510 0.47779824 0.44194979 0.43484848
## [2035] 0.12009011 0.25554183 0.13040761 0.13563636 0.40143761 0.49107143
## [2041] 0.27939516 0.50487266 0.14587279 0.41683291 0.21387828 0.04884135
## [2047] 0.49821041 0.46316631 0.45949120 0.31924603 0.15723431 0.41880743
## [2053] 0.11693296 0.49792797 0.44794444 0.12688588 0.14014179 0.51204167
## [2059] 0.41088451 0.34150362 0.16458333 0.36518576 0.43717387 0.47073272
## [2065] 0.25189970 0.38086974 0.31505682 0.32556043 0.30905226 0.12494222
## [2071] 0.50022130 0.16141901 0.09464286 0.51254086 0.17245455 0.24260962
## [2077] 0.35303030 0.07016807 0.32690074 0.52701732 0.39339916 0.17693532
## [2083] 0.20500000 0.32802278 0.24554434 0.17274052 0.28180106 0.49777519
## [2089] 0.31948612 0.50013038 0.28387199 0.09982604 0.28437550 0.18989968
## [2095] 0.47968881 0.16866677 0.38573841 0.30075881 0.49918831 0.47766961
## [2101] 0.15417057 0.49886364 0.51267150 0.48182870 0.51029704 0.57262962
## [2107] 0.25846134 0.46590315 0.10407524 0.15477941 0.24225146 0.30490272
## [2113] 0.27085899 0.34787644 0.46767830 0.25748327 0.08289541 0.42382041
## [2119] 0.19940774 0.06873041 0.47824074 0.25698125 0.34224138 0.51115591
## [2125] 0.22494638 0.52861111 0.34806277 0.38736992 0.50866788 0.25103828
## [2131] 0.16059524 0.40469295 0.41952429 0.21673990 0.25974100 0.47364159
## [2137] 0.45561383 0.21591900 0.29352863 0.41312089 0.24520323 0.48276473
## [2143] 0.32835017 0.25454589 0.42281007 0.17795330 0.11278409 0.19189732
## [2149] 0.50195077 0.37048426 0.13637623 0.49987259 0.41344828 0.47238971
## [2155] 0.51094715 0.14626129 0.26485855 0.11567935 0.41422902 0.08490909
## [2161] 0.49929825 0.22598639 0.34422597 0.48178043 0.21390320 0.51772727
## [2167] 0.34474657 0.32374768 0.17548151 0.43031257 0.25203008 0.39000947
## [2173] 0.51316200 0.46279461 0.19593220 0.41852809 0.33090035 0.14428571
## [2179] 0.17333731 0.48151204 0.40568247 0.45878628 0.08734969 0.13897059
## [2185] 0.18075884 0.45519153 0.26602205 0.19308182 0.49429361 0.50000000
## [2191] 0.23494468 0.35662851 0.20863487 0.41569712 0.42226131 0.18576905
## [2197] 0.49512526 0.20585714 0.22189970 0.32835097 0.27947632 0.42719720
## [2203] 0.35034460 0.41476344 0.10300000 0.21439007 0.38338492 0.38521436
## [2209] 0.48198605 0.44321541 0.10323049 0.21875000 0.43224961 0.19578134
## [2215] 0.49985603 0.50000000 0.16747685 0.10839921 0.26105420 0.32482130
## [2221] 0.10822368 0.23541914 0.26458333 0.37727891 0.05862069 0.28192669
## [2227] 0.23511905 0.40056022 0.47346424 0.18096154 0.40948052 0.14035057
## [2233] 0.20100446 0.08549465 0.09709011 0.10000000 0.33182718 0.24858744
## [2239] 0.11485802 0.18818775 0.45662000 0.11527778 0.30774991 0.50003201
## [2245] 0.44046182 0.27916667 0.14044118 0.08627451 0.49058301 0.25271662
## [2251] 0.20196281 0.39820149 0.55753348 0.42398043 0.49944645 0.20981756
## [2257] 0.36991637 0.34324339 0.14465345 0.31918831 0.11755291 0.50000000
## [2263] 0.25305643 0.43412033 0.08810034 0.21776316 0.10900203 0.37580471
## [2269] 0.35449641 0.24268626 0.49994090 0.12142857 0.27710024 0.07939394
## [2275] 0.12697740 0.50407506 0.18015873 0.40919811 0.45744232 0.38230886
## [2281] 0.36726786 0.34544437 0.12623377 0.32355912 0.19617045 0.31845460
## [2287] 0.31347466 0.32297953 0.39948793 0.24126984 0.49971591 0.43019175
## [2293] 0.49690973 0.09218750 0.47872234 0.15320417 0.18862946 0.49988095
## [2299] 0.15329861 0.19212662 0.30567602 0.23989899 0.28616339 0.21109055
## [2305] 0.13155080 0.10639731 0.34797531 0.45818226 0.36658163 0.24735061
## [2311] 0.17425876 0.32139220 0.48983990 0.49949074 0.12133581 0.10726271
## [2317] 0.29306907 0.20758337 0.48053640 0.31703265 0.50341682 0.23788440
## [2323] 0.36758563 0.44774660 0.17404661 0.45075000 0.44836240 0.28398268
## [2329] 0.49065584 0.11714286 0.35165816 0.42468494 0.45817881 0.28792929
## [2335] 0.10614844 0.37953720 0.14943182 0.48162771 0.11444004 0.13076975
## [2341] 0.21901615 0.18376623 0.30970539 0.21446759 0.23799395 0.46881231
## [2347] 0.28892045 0.11190946 0.24365539 0.30312852 0.50326618 0.14131040
## [2353] 0.28878656 0.44841604 0.29642762 0.39164661 0.41431818 0.13351679
## [2359] 0.35490963 0.25325284 0.12654062 0.53109244 0.12314050 0.50701033
## [2365] 0.32397939 0.39873893 0.46806793 0.50825337 0.09318182 0.07975741
## [2371] 0.18887591 0.47969380 0.19223761 0.17165033 0.23006934 0.50525346
## [2377] 0.22582429 0.07725490 0.30297932 0.07171717 0.12851756 0.34245826
## [2383] 0.13757909 0.55760260 0.19851190 0.17596499 0.50060304 0.20037420
## [2389] 0.49935829 0.39054714 0.21741912 0.30000000 0.50220588 0.22869249
## [2395] 0.09240057 0.09590965 0.04610390 0.17245631 0.51132430 0.49759652
## [2401] 0.10704225 0.48536501 0.29375000 0.49185754 0.10322930 0.46601033
## [2407] 0.48832116 0.39047746 0.44729294 0.45818854 0.13288979 0.50521998
## [2413] 0.47660957 0.50000000 0.26639393 0.16092063 0.40058363 0.31876755
## [2419] 0.23625269 0.25940739 0.11218750 0.48170956 0.40113696 0.28721295
## [2425] 0.22319791 0.29350714 0.15012864 0.40422063 0.24446640 0.49394408
## [2431] 0.19506173 0.25480912 0.09265306 0.27496907 0.32861472 0.27253788
## [2437] 0.37001925 0.23529412 0.24249012 0.34400365 0.50061015 0.11472185
## [2443] 0.10700758 0.18665518 0.18636364 0.06006494 0.35117240 0.15139237
## [2449] 0.46585992 0.37636120 0.49373608 0.11578947 0.10244755 0.40475794
## [2455] 0.12954478 0.37002841 0.24546244 0.49628448 0.50247619 0.11727273
## [2461] 0.50028409 0.45276349 0.26547697 0.50098683 0.13287037 0.43508860
## [2467] 0.49912281 0.46754386 0.21071962 0.13017390 0.41409199 0.50000000
## [2473] 0.48935503 0.30103547 0.24710444 0.43032656 0.30980147 0.38340934
## [2479] 0.51493213 0.18051948 0.25980392 0.37571429 0.18571243 0.37457871
## [2485] 0.19320988 0.46783063 0.12893082 0.18535586 0.53245830 0.46081664
## [2491] 0.51853813 0.31342384 0.28571429 0.37947269 0.22045455 0.38097301
## [2497] 0.25441176 0.07970522 0.42112490 0.49050035 0.29062500 0.49701747
## [2503] 0.15213606 0.39799890 0.35802542 0.17003256 0.05590112 0.38906826
## [2509] 0.28166474 0.26572820 0.17188503 0.50000000 0.41865079 0.45581414
## [2515] 0.15199254 0.06927900 0.36798304 0.47368421 0.20557576 0.15993837
## [2521] 0.32089421 0.51886385 0.38828987 0.43828125 0.32211111 0.36735060
## [2527] 0.36228483 0.06808511 0.26716118 0.39698737 0.42557540 0.30803571
## [2533] 0.55794262 0.40477694 0.12631579 0.34637355 0.41235294 0.15704875
## [2539] 0.15526316 0.52857202 0.11578947 0.48681889 0.20249725 0.32641939
## [2545] 0.51975881 0.24067669 0.29122619 0.50000000 0.13261719 0.51704809
## [2551] 0.13333333 0.35103974 0.40202594 0.07352941 0.21382876 0.09310345
## [2557] 0.34814073 0.22353370 0.26013072 0.35358654 0.23775510 0.12798354
## [2563] 0.18001248 0.50648980 0.51759887 0.33902381 0.26557945 0.27364161
## [2569] 0.50260700 0.17874462 0.16302309 0.21689396 0.32699456 0.47821842
## [2575] 0.33434694 0.38375563 0.27752976 0.38940870 0.09549017 0.40051827
## [2581] 0.11864528 0.27652392 0.22748864 0.51014602 0.44502938 0.37288098
## [2587] 0.11097770 0.49869968 0.44724327 0.49091032 0.12668622 0.14984230
## [2593] 0.49394308 0.40507910 0.27798392 0.21495256 0.24719551 0.17229278
## [2599] 0.49472422 0.12407407 0.52628051 0.40238233 0.27051136 0.35892857
## [2605] 0.50689875 0.33062201 0.13451496 0.19619883 0.46755485 0.24025646
## [2611] 0.33298613 0.21413477 0.11228070 0.27637864 0.30357096 0.26210735
## [2617] 0.35214947 0.47200521 0.34824458 0.13928230 0.27407407 0.21567857
## [2623] 0.49458247 0.25138374 0.51267949 0.43484488 0.34049122 0.49600458
## [2629] 0.44520016 0.19438776 0.30950940 0.21077441 0.17382527 0.12889610
## [2635] 0.47094690 0.46049400 0.21190856 0.31738806 0.47472368 0.16803879
## [2641] 0.16871658 0.19384930 0.16262500 0.03728814 0.34999403 0.18730674
## [2647] 0.40883869 0.49862335 0.29528530 0.44223074 0.12134440 0.30982313
## [2653] 0.35426387 0.34426363 0.10087946 0.20686275 0.13168103 0.30415441
## [2659] 0.49913504 0.33428874 0.46911526 0.21897875 0.48761096 0.20185407
## [2665] 0.27786052 0.39507629 0.13324947 0.12151480 0.20904769 0.21331040
## [2671] 0.35853739 0.11640212 0.18815789 0.48042147 0.28711552 0.17953571
## [2677] 0.30208130 0.32356534 0.34416322 0.23703704 0.32595601 0.26586572
## [2683] 0.47353759 0.20984568 0.50927734 0.42635995 0.38022959 0.49837129
## [2689] 0.42069907 0.25846635 0.07507692 0.33255602 0.56545567 0.11573084
## [2695] 0.26912283 0.32462585 0.10218750 0.47558707 0.08409091 0.51207074
## [2701] 0.40868919 0.22452738 0.37843615 0.17404545 0.19562332 0.47563786
## [2707] 0.27454004 0.16706829 0.15783904 0.26095238 0.43853751 0.24178719
## [2713] 0.18166586 0.43891742 0.17940516 0.24638688 0.46479060 0.48317644
## [2719] 0.18172078 0.13272894 0.47616578 0.49810311 0.32733862 0.20879285
## [2725] 0.27239373 0.51945166 0.49621546 0.38850511 0.15642857 0.49425192
## [2731] 0.13163836 0.27994974 0.12370009 0.13346207 0.17540593 0.40217735
## [2737] 0.28006767 0.50315330 0.23928030 0.19176672 0.10966553 0.11159420
## [2743] 0.15805785 0.14915962 0.19786343 0.49973684 0.36690821 0.10137221
## [2749] 0.46719913 0.52090977 0.23230314 0.45225691 0.27169811 0.30663022
## [2755] 0.18888889 0.17954291 0.35458892 0.30562856 0.16659353 0.10419580
## [2761] 0.17051821 0.41244805 0.37040816 0.22894737 0.11176471 0.18929176
## [2767] 0.48790283 0.13421053 0.45963855 0.06971660 0.38254307 0.50621875
## [2773] 0.36575230 0.44266322 0.25638894 0.20998775 0.23659838 0.49508209
## [2779] 0.38133609 0.42138638 0.27980751 0.14829791 0.28149743 0.34770130
## [2785] 0.37003666 0.12485828 0.40694853 0.41807155 0.26365621 0.33939129
## [2791] 0.35646296 0.23330357 0.29832231 0.22310832 0.25292918 0.24743931
## [2797] 0.11606855 0.35690789 0.26439655 0.50000000 0.41311778 0.46440675
## [2803] 0.24571334 0.41497372 0.13129978 0.26515152 0.07333333 0.15867605
## [2809] 0.20285714 0.45891228 0.53392285 0.24001221 0.19609351 0.25231638
## [2815] 0.14284483 0.51174741 0.14842550 0.33661050 0.25808710 0.22656311
## [2821] 0.17280702 0.50000000 0.46412539 0.11547222 0.26020812 0.25926053
## [2827] 0.52973993 0.25112854 0.55938857 0.48073068 0.49356667 0.06988304
## [2833] 0.51163876 0.33621209 0.49935065 0.17137042 0.18950786 0.13876710
## [2839] 0.48668610 0.36111111 0.23258112 0.20490348 0.32535441 0.46611225
## [2845] 0.35120563 0.24275278 0.31331019 0.16144740 0.12380952 0.43331448
## [2851] 0.49375661 0.26756070 0.21452441 0.49320737 0.43954087 0.22127660
## [2857] 0.31618585 0.49305556 0.19856014 0.33863968 0.50019157 0.22831625
## [2863] 0.10571429 0.11395247 0.22875132 0.35892454 0.53742142 0.11264378
## [2869] 0.43152184 0.50021368 0.34284466 0.48295877 0.52258131 0.27284194
## [2875] 0.35367502 0.21125000 0.20204425 0.29623525 0.44362477 0.35330683
## [2881] 0.43248132 0.47743534 0.07801653 0.33199704 0.45748178 0.49623272
## [2887] 0.26733333 0.28492393 0.17520567 0.13154681 0.45532760 0.50840722
## [2893] 0.05657468 0.36388212 0.18432247 0.32437979 0.46940030 0.17151433
## [2899] 0.36398430 0.22255601 0.45220117 0.25639669 0.18624943 0.50660138
## [2905] 0.13993506 0.22115152 0.36705393 0.50000000 0.49576271 0.50483913
## [2911] 0.30150293 0.23167115 0.51005321 0.43058026 0.19811765 0.15417440
## [2917] 0.34788857 0.12000000 0.31556723 0.45407089 0.16677083 0.46594694
## [2923] 0.47450397 0.24424664 0.43916773 0.11741543 0.06620690 0.24142055
## [2929] 0.13583754 0.26783333 0.44723277 0.10555556 0.19541667 0.16085526
## [2935] 0.49750693 0.49963063 0.32279151 0.26875000 0.29406584 0.49855553
## [2941] 0.14288243 0.15491379 0.19648509 0.22461039 0.14169473 0.19068008
## [2947] 0.38694050 0.45224395 0.13607955 0.52978851 0.42689432 0.18085776
## [2953] 0.07600267 0.49047920 0.37256092 0.39848253 0.45850684 0.26963642
## [2959] 0.34581530 0.47821289 0.30169064 0.43020746 0.47017641 0.15991838
## [2965] 0.36741682 0.50000000 0.12874259 0.38628309 0.41381254 0.20316131
## [2971] 0.45950000 0.44132275 0.30704335 0.28978880 0.47752846 0.17954545
## [2977] 0.50257045 0.26149508 0.29531208 0.26177249 0.42263097 0.17981744
## [2983] 0.44794313 0.21557065 0.36256545 0.41535571 0.31990741 0.53308928
## [2989] 0.35700176 0.28802300 0.46430882 0.12995739 0.29702438 0.39981855
## [2995] 0.31358962 0.53338435 0.47864959 0.21554487 0.17452702 0.47329478
## [3001] 0.39852439 0.38730407 0.19244266 0.13333333 0.33439449 0.26058769
## [3007] 0.18583096 0.50739689 0.20424090 0.16727962 0.22858617 0.12187500
## [3013] 0.34288961 0.26355820 0.21319549 0.48666278 0.30614087 0.31894992
## [3019] 0.12631579 0.09410000 0.36065289 0.14963235 0.33179830 0.18524460
## [3025] 0.16404959 0.47718796 0.36836181 0.41571429 0.36181990 0.45966184
## [3031] 0.18260131 0.38338068 0.42828851 0.52692147 0.35875000 0.50368620
## [3037] 0.09992165 0.46750823 0.21140940 0.08877005 0.27087542 0.43155825
## [3043] 0.22239057 0.32847877 0.48295847 0.52302671 0.23116124 0.21648059
## [3049] 0.35969211 0.47658927 0.22678977 0.12083791 0.47776846 0.37514161
## [3055] 0.47334906 0.18285787 0.09514375 0.37683540 0.21045269 0.30476068
## [3061] 0.55236688 0.51027116 0.53323413 0.09428571 0.30850106 0.57159908
## [3067] 0.30376633 0.44591071 0.50305451 0.26695109 0.23363636 0.37557823
## [3073] 0.42412812 0.49756993 0.09916667 0.16506734 0.11805905 0.50517677
## [3079] 0.31174538 0.28668691 0.43907068 0.41659016 0.28548517 0.47489438
## [3085] 0.03773585 0.46044805 0.32276633 0.15935829 0.36087876 0.10274295
## [3091] 0.25147673 0.09638219 0.05714286 0.09981343 0.14709727 0.39898119
## [3097] 0.40169643 0.45274056 0.26347791 0.23363480 0.15198052 0.29901466
## [3103] 0.22500000 0.09301099 0.40666362 0.38353448 0.08330040 0.50499072
## [3109] 0.14193269 0.38707434 0.19070617 0.35091218 0.17422222 0.47204985
## [3115] 0.15201531 0.37523354 0.20109578 0.25474147 0.23905231 0.46182796
## [3121] 0.27611494 0.18699892 0.23097403 0.34398148 0.50963177 0.39428451
## [3127] 0.24076494 0.35811962 0.39755294 0.13358586 0.50984210 0.05177557
## [3133] 0.40983686 0.43888791 0.20809708 0.51182828 0.13868035 0.38621006
## [3139] 0.08888889 0.27594697 0.49202181 0.11818182 0.11212121 0.43599531
## [3145] 0.19155844 0.49538594 0.50000000 0.20083916 0.24828125 0.22006579
## [3151] 0.17810245 0.48370236 0.11600000 0.13971429 0.08018059 0.10546121
## [3157] 0.11735652 0.12523465 0.43322568 0.38980996 0.21611842 0.17288136
## [3163] 0.42914741 0.41011905 0.17704902 0.46630248 0.32378236 0.39651961
## [3169] 0.21004792 0.09337121 0.41297072 0.42084496 0.24034572 0.33275528
## [3175] 0.11991736 0.13000000 0.38590812 0.50442324 0.21391185 0.40346591
## [3181] 0.25467836 0.03809524 0.34644802 0.31129038 0.19081618 0.18753623
## [3187] 0.50526429 0.47336851 0.51817130 0.09582712 0.50653955 0.17247475
## [3193] 0.43688331 0.49691877 0.23625922 0.47648910 0.08995215 0.19499082
## [3199] 0.51203178 0.28121054 0.26144618 0.14508349 0.07678571 0.31042030
## [3205] 0.57289916 0.32914372 0.52676751 0.23342360 0.42468652 0.18478495
## [3211] 0.46804100 0.34054775 0.18950000 0.35905463 0.14718013 0.50235449
## [3217] 0.39284896 0.15523416 0.48336580 0.33149127 0.29069388 0.19582312
## [3223] 0.45383919 0.24638153 0.33092101 0.20221805 0.31775765 0.16216936
## [3229] 0.50064360 0.28999609 0.53842537 0.33123532 0.30704208 0.50582386
## [3235] 0.29351707 0.16470588 0.20715519 0.44563924 0.08518519 0.40170580
## [3241] 0.20956845 0.27487245 0.52420397 0.52803241 0.35589136 0.50000000
## [3247] 0.14894737 0.46343446 0.22433830 0.43128929 0.39633073 0.31133455
## [3253] 0.34857474 0.33659246 0.47231027 0.49642344 0.48157689 0.23015873
## [3259] 0.33247126 0.48888170 0.21168589 0.41254545 0.28028725 0.30236364
## [3265] 0.49815756 0.30528687 0.23583442 0.37285317 0.12087827 0.24545540
## [3271] 0.17254174 0.34964003 0.14605263 0.19794643 0.50588942 0.15640394
## [3277] 0.16396596 0.19723506 0.22750411 0.47231357 0.19413345 0.16663961
## [3283] 0.42598304 0.49935065 0.54350954 0.10115741 0.41187032 0.11345000
## [3289] 0.48654971 0.21296296 0.35922675 0.16695906 0.13431897 0.20207018
## [3295] 0.40380368 0.18221909 0.37043248 0.31821649 0.50000000 0.18833500
## [3301] 0.05145161 0.22836488 0.51254678 0.28068182 0.34081961 0.11550802
## [3307] 0.18529883 0.50315789 0.55614355 0.53522414 0.40420179 0.24059942
## [3313] 0.18904762 0.35291978 0.19581778 0.25723684 0.27500000 0.30402674
## [3319] 0.33818042 0.40100000 0.49502794 0.53032715 0.17808642 0.08364780
## [3325] 0.31577381 0.08809219 0.48882272 0.20774525 0.47580556 0.21830434
## [3331] 0.43432612 0.27496608 0.49793903 0.13280992 0.44653728 0.53820099
## [3337] 0.49886267 0.39904738 0.40752812 0.32145623 0.24945913 0.48895960
## [3343] 0.20744544 0.49269126 0.40096591 0.07078987 0.42786164 0.37865566
## [3349] 0.22959184 0.50000000 0.43159830 0.10334215 0.16369540 0.08497217
## [3355] 0.26621846 0.47920929 0.41556839 0.49936853 0.08596398 0.15000000
## [3361] 0.25905263 0.35181454 0.10702479 0.24671053 0.19947368 0.40087232
## [3367] 0.23141447 0.46666667 0.50680616 0.49872054 0.25807225 0.44877738
## [3373] 0.32966531 0.24993113 0.08110795 0.17386364 0.49674603 0.12511962
## [3379] 0.13565341 0.38996792 0.44117560 0.10087120 0.29976852 0.51924413
## [3385] 0.37727273 0.44109180 0.49575208 0.12648810 0.22415584 0.36640805
## [3391] 0.32290727 0.28504831 0.51019088 0.36461055 0.35654088 0.34755379
## [3397] 0.19737606 0.17929293 0.17105553 0.11252525 0.24589083 0.35037518
## [3403] 0.28103741 0.51973463 0.25890467 0.50688672 0.08230174 0.50000000
## [3409] 0.32941128 0.39193878 0.49960664 0.45379671 0.46163768 0.16320755
## [3415] 0.06034483 0.24701968 0.44441176 0.36983852 0.41184659 0.29810196
## [3421] 0.24010157 0.22664764 0.20983456 0.45438023 0.14248512 0.20453431
## [3427] 0.36930037 0.18706897 0.16895044 0.42056014 0.33562765 0.18705357
## [3433] 0.21820988 0.28611464 0.15663670 0.49819212 0.10194129 0.20932646
## [3439] 0.28513072 0.15447784 0.44394549 0.19723912 0.33288884 0.16966117
## [3445] 0.23023779 0.37096774 0.42715909 0.35648071 0.50045258 0.28760085
## [3451] 0.35167028 0.49019992 0.18872334 0.19332235 0.33477023 0.34868056
## [3457] 0.08012478 0.46254575 0.26276906 0.21207530 0.26444930 0.50326674
## [3463] 0.39477240 0.37357787 0.47229740 0.43616979 0.33614719 0.35768311
## [3469] 0.20997024 0.20754167 0.08990566 0.50000000 0.49874608 0.18126671
## [3475] 0.17846320 0.35812325 0.36454805 0.55541150 0.10526316 0.21476907
## [3481] 0.44906809 0.24835741 0.11713582 0.20187500 0.25386237 0.24327534
## [3487] 0.13496022 0.17322550 0.11992589 0.16697368 0.31256039 0.49699569
## [3493] 0.49814583 0.42697001 0.24291351 0.29693930 0.40195254 0.24229039
## [3499] 0.13566434 0.50554403 0.45776667 0.38342614 0.36988932 0.16148571
## [3505] 0.11000000 0.45934800 0.49590054 0.29230547 0.32007630 0.30945812
## [3511] 0.13156250 0.25695863 0.48587288 0.28644185 0.22419355 0.47443182
## [3517] 0.27380435 0.50000000 0.17675777 0.38840726 0.11977273 0.35180184
## [3523] 0.24266075 0.33323840 0.46525095 0.28204113 0.18035364 0.49986631
## [3529] 0.25005261 0.36500156 0.50510616 0.46794244 0.36889695 0.48101696
## [3535] 0.31930780 0.26004489 0.43898459 0.07519260 0.13909868 0.22215148
## [3541] 0.49530864 0.12428370 0.41012731 0.52412816 0.10424812 0.31194747
## [3547] 0.49603281 0.40345644 0.37454084 0.34190849 0.49828142 0.48384946
## [3553] 0.12941176 0.16708438 0.20917932 0.33241418 0.38583878 0.29291949
## [3559] 0.32598485 0.21981132 0.21029630 0.38181416 0.45689249 0.23560855
## [3565] 0.50003269 0.48671719 0.27515886 0.36902357 0.41752420 0.09423913
## [3571] 0.35262846 0.33777572 0.23905229 0.45215550 0.47195767 0.51309108
## [3577] 0.21799520 0.32409202 0.52010271 0.50000000 0.20294118 0.44133292
## [3583] 0.31834643 0.20842092 0.26594099 0.36457371 0.33370421 0.44919981
## [3589] 0.36027367 0.35539677 0.25687500 0.24276263 0.46252552 0.18636574
## [3595] 0.50000000 0.29493477 0.24287229 0.47944384 0.44653881 0.27336448
## [3601] 0.53614611 0.28561439 0.32432962 0.29073608 0.17960373 0.19180328
## [3607] 0.12621782 0.48131133 0.34006575 0.15637004 0.08321678 0.32666256
## [3613] 0.31432292 0.10572193 0.30091880 0.08680070 0.53605615 0.13163265
## [3619] 0.18639794 0.09044215 0.49873294 0.21127907 0.38883987 0.28121521
## [3625] 0.35457609 0.20915682 0.34002587 0.42325451 0.28538012 0.33693910
## [3631] 0.15597128 0.49954246 0.18216450 0.23891981 0.23490952 0.43229520
## [3637] 0.11000000 0.39275085 0.21485128 0.51607069 0.33570075 0.31259765
## [3643] 0.33241705 0.39374338 0.34433291 0.15851113 0.51145640 0.17181903
## [3649] 0.41048652 0.19048375 0.20820514 0.22330926 0.41138889 0.50244291
## [3655] 0.30783058 0.16974026 0.51609860 0.12412281 0.05650624 0.30981564
## [3661] 0.26828827 0.48982116 0.20541413 0.21787721 0.36894841 0.25784314
## [3667] 0.40866599 0.20310418 0.34103562 0.52512364 0.09688525 0.14801136
## [3673] 0.28019867 0.36172318 0.17369029 0.24573658 0.36686398 0.51423399
## [3679] 0.45037879 0.17643357 0.29262599 0.18359375 0.33715278 0.36176720
## [3685] 0.15462121 0.16874312 0.27524761 0.38106529 0.29581388 0.53149320
## [3691] 0.42391652 0.29767287 0.43798560 0.27625000 0.25726923 0.08116883
## [3697] 0.50000000 0.41815556 0.09937500 0.18297371 0.11308053 0.32778916
## [3703] 0.33466811 0.28555519 0.36250287 0.10277344 0.43064918 0.12098765
## [3709] 0.20043103 0.31804994 0.48281167 0.14251929 0.29010361 0.05188088
## [3715] 0.21666667 0.51556426 0.42274261 0.27483821 0.27015190 0.47666667
## [3721] 0.21536790 0.32782309 0.50408399 0.46738752 0.20099490 0.47415682
## [3727] 0.36220449 0.16663943 0.32425988 0.50025831 0.23422599 0.08755319
## [3733] 0.40620678 0.38203209 0.11508264 0.27446016 0.43378947 0.49989177
## [3739] 0.40776190 0.45490414 0.13813596 0.27249278 0.38687363 0.25689817
## [3745] 0.16231810 0.12887977 0.16931818 0.30935971 0.22283951 0.45307061
## [3751] 0.16347656 0.24747095 0.21026786 0.17965341 0.16486742 0.16744957
## [3757] 0.16507937 0.34979286 0.24937352 0.33489349 0.14879699 0.28019231
## [3763] 0.17666667 0.23830327 0.21964781 0.18717949 0.16263282 0.43897939
## [3769] 0.35100649 0.16019571 0.28585734 0.47560721 0.47240930 0.28889128
## [3775] 0.26192933 0.16470588 0.18125731 0.13953137 0.28954762 0.20971320
## [3781] 0.07786561 0.14523810 0.28075487 0.34703852 0.16677950 0.49973256
## [3787] 0.23894369 0.25322581 0.46903434 0.41318832 0.06111111 0.43121793
## [3793] 0.12351648 0.18529412 0.52045977 0.16835758 0.34406432 0.50690222
## [3799] 0.39754839 0.54176136 0.30257129 0.05882937 0.49801495 0.15543350
## [3805] 0.38079696 0.28333333 0.33586347 0.26996466 0.26757812 0.39057254
## [3811] 0.09659755 0.35383360 0.19429383 0.41995062 0.43966049 0.10283747
## [3817] 0.50463632 0.25105993 0.42212771 0.12740870 0.22036816 0.35749981
## [3823] 0.34707672 0.42755406 0.19234934 0.19413412 0.32856141 0.40926352
## [3829] 0.53596719 0.18428030 0.50308260 0.32128301 0.21944444 0.50142377
## [3835] 0.07633005 0.32857143 0.43743864 0.53199468 0.10176768 0.09489471
## [3841] 0.24589947 0.43151355 0.23005865 0.49937814 0.49508072 0.50000000
## [3847] 0.42446825 0.34982051 0.47041126 0.52210417 0.13107708 0.05404762
## [3853] 0.51538866 0.16785714 0.16325758 0.50000000 0.11424456 0.13375000
## [3859] 0.21760309 0.51210084 0.13405255 0.48973805 0.36347319 0.30940271
## [3865] 0.32602703 0.37428474 0.24817769 0.28863095 0.47459491 0.50779321
## [3871] 0.10976789 0.26949582 0.20460133 0.50423542 0.09393939 0.23279221
## [3877] 0.15526316 0.29558760 0.53130505 0.41487019 0.18122633 0.52389169
## [3883] 0.50006614 0.44148015 0.32426780 0.38958707 0.11419458 0.22647908
## [3889] 0.50860374 0.47700727 0.50192437 0.50501082 0.28459004 0.17744263
## [3895] 0.19503304 0.39935618 0.48270878 0.17121212 0.08503099 0.10775000
## [3901] 0.19572036 0.13428571 0.17987089 0.25032988 0.16887864 0.08574681
## [3907] 0.19657578 0.34961914 0.45449718 0.44144366 0.13751940 0.15686106
## [3913] 0.53936114 0.41751102 0.28244240 0.17030788 0.30927318 0.42732692
## [3919] 0.47045374 0.46653483 0.20233236 0.51519852 0.27381811 0.44279143
## [3925] 0.50493026 0.11733274 0.24283439 0.48805106 0.23495066 0.11224654
## [3931] 0.50000000 0.36224556 0.30752556 0.49816017 0.07133152 0.36348657
## [3937] 0.41296857 0.46763058 0.40682760 0.08092404 0.48502404 0.16977814
## [3943] 0.31030685 0.35280145 0.40343137 0.31290266 0.48079532 0.37762647
## [3949] 0.47429108 0.50000000 0.39360609 0.22455242 0.41535705 0.19791667
## [3955] 0.08319039 0.47089370 0.54239293 0.15823864 0.16088919 0.34217558
## [3961] 0.33871469 0.44801759 0.53385545 0.17495984 0.44802224 0.50113448
## [3967] 0.28152412 0.32452221 0.13496212 0.48284615 0.50083964 0.19917929
## [3973] 0.12418182 0.22350914 0.41559463 0.27159220 0.48272948 0.19825505
## [3979] 0.14297852 0.26119721 0.34249865 0.47348325 0.10125963 0.21102571
## [3985] 0.19722222 0.18347373 0.43512352 0.50027341 0.21323529 0.19727952
## [3991] 0.10104274 0.24141131 0.25281155 0.20183838 0.14812377 0.42166065
## [3997] 0.50014286 0.38929983 0.49890572 0.42341083 0.18106306 0.44616360
## [4003] 0.33638344 0.16287500 0.17857143 0.31226852 0.44611928 0.30888918
## [4009] 0.28979722 0.33388090 0.25563496 0.12000000 0.49069491 0.37586118
## [4015] 0.25143888 0.45016165 0.24248366 0.09419729 0.17336294 0.25624625
## [4021] 0.39605648 0.06161616 0.20000000 0.21679688 0.53333819 0.41715152
## [4027] 0.21814840 0.15340278 0.28750000 0.10466634 0.49848789 0.18088942
## [4033] 0.31057650 0.20691648 0.42587732 0.03692308 0.30181851 0.13433269
## [4039] 0.43105260 0.26574096 0.22878788 0.06704545 0.12599327 0.49014668
## [4045] 0.52299738 0.18815708 0.46532779 0.19531746 0.45198864 0.14283009
## [4051] 0.17500000 0.37725991 0.29250842 0.35189229 0.43434137 0.14903846
## [4057] 0.24250000 0.40178571 0.06761885 0.32503487 0.38792067 0.51298654
## [4063] 0.47505978 0.50042735 0.50678883 0.35906866 0.26384615 0.11029056
## [4069] 0.49081480 0.38574878 0.33096591 0.23416836 0.50840909 0.19834550
## [4075] 0.50000000 0.18740642 0.22652745 0.24140625 0.49664179 0.33216979
## [4081] 0.25218254 0.09140194 0.25651412 0.14328390 0.37319654 0.08970588
## [4087] 0.16260447 0.22058555 0.49898439 0.25636122 0.23931760 0.21585358
## [4093] 0.30236677 0.31773432 0.45265873 0.35884199 0.26298888 0.14407895
## [4099] 0.05650624 0.41920391 0.49709857 0.53511122 0.30672542 0.42268075
## [4105] 0.17895340 0.22518345 0.49941595 0.17747715 0.39331533 0.13716046
## [4111] 0.50303145 0.47640831 0.25586623 0.32417627 0.12848853 0.48735795
## [4117] 0.14752457 0.27690476 0.39846865 0.15768281 0.24322264 0.48880670
## [4123] 0.12509948 0.46413176 0.15314685 0.42252925 0.43322891 0.15827538
## [4129] 0.34179551 0.32755002 0.28056553 0.49933036 0.52688940 0.12597403
## [4135] 0.22882111 0.09652194 0.05842246 0.04843750 0.27975589 0.08440458
## [4141] 0.16253637 0.32158836 0.46718226 0.12915361 0.50000000 0.25938059
## [4147] 0.47320947 0.12557319 0.13666054 0.13721591 0.16542447 0.18419458
## [4153] 0.09633929 0.10470588 0.24598535 0.33863636 0.22339808 0.16842105
## [4159] 0.52152922 0.42393492 0.50379414 0.19111085 0.14736842 0.06053030
## [4165] 0.16717460 0.11818182 0.35075163 0.21329641 0.11307566 0.13288557
## [4171] 0.15996581 0.35465017 0.44845690 0.31808905 0.44003549 0.18091262
## [4177] 0.46026495 0.46798420 0.33475228 0.37964784 0.45874526 0.22154524
## [4183] 0.21215539 0.22500000 0.38358179 0.46000232 0.13827945 0.25485322
## [4189] 0.21011905 0.29995112 0.23994609 0.48272642 0.49590643 0.25395040
## [4195] 0.35004662 0.23984051 0.51780287 0.35791246 0.32496234 0.41190476
## [4201] 0.26000000 0.51029170 0.36557565 0.19241297 0.13007519 0.20771991
## [4207] 0.44606808 0.25139463 0.19411620 0.15548246 0.37500000 0.34195199
## [4213] 0.18601159 0.51795211 0.50910863 0.20926768 0.15842083 0.15445969
## [4219] 0.22781877 0.29765770 0.22793255 0.05642292 0.41344826 0.47386905
## [4225] 0.10207930 0.09649959 0.17820450 0.15815668 0.16449400 0.07078987
## [4231] 0.15277566 0.44115419 0.50432665 0.31020072 0.22151433 0.19324399
## [4237] 0.09672131 0.47830817 0.43302696 0.23247745 0.51953358 0.51201814
## [4243] 0.15644369 0.15255556 0.17829288 0.06464646 0.10469577 0.18404605
## [4249] 0.28977181 0.51381214 0.12408163 0.41757813 0.06388536 0.35399584
## [4255] 0.50592295 0.20364924 0.29529046 0.35528768 0.50282561 0.50332315
## [4261] 0.25588395 0.22127193 0.18915355 0.42573091 0.19901316 0.12849026
## [4267] 0.52630539 0.39668324 0.16493506 0.04516129 0.40574771 0.31918001
## [4273] 0.23690909 0.12427165 0.20438596 0.36031846 0.38279672 0.13522727
## [4279] 0.35681443 0.38874931 0.17386364 0.26837572 0.45121010 0.20358392
## [4285] 0.25455536 0.35270936 0.35256696 0.42351562 0.10551416 0.23120192
## [4291] 0.30082237 0.11732328 0.31605869 0.51645484 0.19921437 0.11465732
## [4297] 0.34499433 0.31892777 0.24261687 0.51116667 0.20108828 0.14771635
## [4303] 0.23401786 0.35532108 0.54975885 0.23716737 0.21510332 0.14204545
## [4309] 0.39039394 0.24059917 0.26757964 0.07958333 0.11481481 0.42722316
## [4315] 0.32562519 0.21767518 0.11290205 0.23341418 0.22280025 0.47019961
## [4321] 0.21773539 0.47024554 0.12194357 0.18298872 0.45606246 0.47687662
## [4327] 0.50000000 0.36120889 0.15495395 0.27862669 0.52844998 0.48033993
## [4333] 0.07292070 0.27523181 0.30690976 0.21241651 0.33627451 0.18659297
## [4339] 0.31048920 0.42363431 0.50428150 0.51010107 0.49843712 0.53622455
## [4345] 0.16782531 0.37741151 0.42547646 0.24802283 0.48813701 0.18750000
## [4351] 0.18888889 0.16094389 0.29635807 0.11976316 0.31513088 0.47849490
## [4357] 0.30450115 0.16379006 0.09158402 0.19779526 0.40490435 0.20040025
## [4363] 0.28487762 0.15488722 0.28497526 0.38198854 0.20789474 0.22037504
## [4369] 0.38057379 0.41700617 0.18562828 0.18649733 0.17538126 0.22434211
## [4375] 0.03636364 0.09264706 0.30154469 0.49322612 0.17818182 0.10173401
## [4381] 0.09259220 0.50000000 0.30382653 0.32098358 0.19870415 0.06299283
## [4387] 0.34878806 0.20309826 0.25563533 0.13541667 0.29030044 0.20468750
## [4393] 0.22927715 0.34211711 0.20459184 0.23701276 0.22571429 0.15722802
## [4399] 0.49717376 0.22833167 0.44749412 0.12573892 0.49988823 0.51528992
## [4405] 0.41485390 0.32129371 0.35440619 0.10526316 0.10519481 0.29884444
## [4411] 0.16632522 0.48958577 0.09644269 0.14157257 0.25378151 0.13967452
## [4417] 0.40673768 0.10192913 0.28250285 0.08621390 0.23794789 0.29646865
## [4423] 0.37199519 0.08472222 0.44388528 0.47356842 0.51317339 0.16352616
## [4429] 0.30202020 0.10300179 0.05694108 0.15781250 0.21536897 0.39152798
## [4435] 0.35367449 0.52446557 0.08733471 0.36571429 0.25004098 0.35699535
## [4441] 0.45836057 0.38731930 0.08225160 0.18044923 0.21500000 0.10320617
## [4447] 0.36560761 0.25882035 0.29188223 0.36909120 0.21558442 0.49986226
## [4453] 0.20634921 0.51404069 0.47298611 0.19642857 0.11250000 0.14204545
## [4459] 0.24682690 0.15923598 0.22025649 0.24283309 0.50000000 0.17280702
## [4465] 0.26901528 0.04970674 0.14913499 0.17849833 0.24207516 0.17567931
## [4471] 0.47525310 0.46495969 0.07931034 0.22048096 0.22309091 0.49650735
## [4477] 0.21588346 0.19551545 0.12890769 0.33528139 0.29881408 0.17420290
## [4483] 0.49985577 0.25750000 0.34871172 0.37894740 0.49599136 0.46122475
## [4489] 0.24240000 0.21460101 0.23022321 0.12266436 0.29559384 0.28265306
## [4495] 0.18347162 0.46758373 0.17039474 0.42671327 0.17138599 0.32797467
## [4501] 0.26895696 0.32119931 0.33977273 0.15562338 0.07481855 0.21504033
## [4507] 0.49989177 0.14511278 0.13355163 0.49128385 0.10364842 0.23592437
## [4513] 0.31354167 0.17625000 0.09049708 0.20503472 0.33475263 0.42632718
## [4519] 0.33964115 0.36233528 0.50878284 0.17936364 0.30758985 0.06629098
## [4525] 0.36404090 0.33118738 0.05437710 0.28091530 0.40833838 0.47189004
## [4531] 0.26928277 0.28156764 0.14645367 0.29590774 0.48043718 0.39861562
## [4537] 0.29874675 0.57735891 0.16655431 0.22648148 0.38085106 0.50746850
## [4543] 0.15900515 0.13017241 0.17851240 0.49198758 0.10316206 0.48746978
## [4549] 0.50000000 0.20025253 0.13928571 0.35893685 0.19816927 0.38571751
## [4555] 0.26193512 0.26414502 0.37708033 0.15408163 0.11434524 0.25485714
## [4561] 0.19066033 0.25550038 0.49807665 0.48840524 0.39517854 0.20040990
## [4567] 0.09816248 0.36490881 0.19151637 0.50000000 0.16883224 0.35216921
## [4573] 0.40467836 0.09523810 0.25854098 0.29608344 0.21063644 0.19231872
## [4579] 0.48861130 0.41541005 0.44347676 0.51233129 0.12832200 0.15221727
## [4585] 0.34447325 0.35192744 0.25292321 0.23397009 0.50000000 0.31412560
## [4591] 0.15336300 0.50386414 0.48008617 0.12744425 0.28337897 0.18125000
## [4597] 0.08367347 0.37376775 0.14464286 0.18900966 0.50000000 0.48212500
## [4603] 0.13124642 0.48337446 0.44131880 0.12380952 0.20034722 0.37059257
## [4609] 0.40688068 0.19163534 0.48380076 0.21307506 0.18868129 0.26078431
## [4615] 0.14828330 0.22465213 0.31121591 0.33701073 0.15518182 0.36273191
## [4621] 0.09585227 0.30346997 0.20798033 0.23124426 0.50000000 0.33506119
## [4627] 0.40687159 0.23812500 0.19720134 0.38146660 0.42918651 0.10754352
## [4633] 0.35241666 0.09068915 0.32623636 0.43669553 0.38768263 0.18931319
## [4639] 0.36025728 0.44323777 0.47973944 0.25370548 0.50395003 0.52698864
## [4645] 0.40538627 0.31686444 0.50000000 0.16887830 0.10051653 0.19650422
## [4651] 0.21004216 0.06691729 0.40851709 0.46772967 0.25694444 0.10847303
## [4657] 0.32391304 0.33645693 0.14060576 0.15887800 0.22857143 0.16006494
## [4663] 0.45740972 0.50103239 0.51315878 0.49397957 0.35735287 0.27217069
## [4669] 0.30536651 0.30588068 0.26134816 0.37400121 0.50000000 0.54092893
## [4675] 0.45311398 0.44596591 0.46711163 0.21363636 0.05137221 0.09963343
## [4681] 0.48812500 0.25396825 0.50969192 0.31511354 0.26210140 0.29043628
## [4687] 0.10664683 0.32906770 0.41991582 0.22021104 0.30571486 0.28106703
## [4693] 0.25557910 0.32388937 0.15937500 0.41553030 0.18969213 0.30689808
## [4699] 0.11163594 0.17697917 0.25377657 0.17057613 0.22696333 0.27474192
## [4705] 0.29682032 0.32983634 0.27500000 0.23869048 0.40643971 0.29225589
## [4711] 0.21444444 0.34636610 0.42338235 0.49644934 0.14763636 0.16666667
## [4717] 0.48735006 0.10447613 0.26554622 0.24248366 0.41993386 0.50812126
## [4723] 0.29203431 0.18616162 0.24034735 0.36490614 0.49967391 0.09632353
## [4729] 0.21293220 0.22233350 0.32890406 0.27187252 0.21398580 0.29003700
## [4735] 0.25479167 0.08560372 0.31531746 0.18055556 0.34011293 0.20745614
## [4741] 0.17745511 0.31406250 0.42180646 0.08936508 0.25238095 0.51542799
## [4747] 0.36047009 0.15757979 0.25240920 0.38756651 0.29717725 0.49728399
## [4753] 0.11570188 0.30325906 0.49695804 0.11460507 0.05188088 0.40482769
## [4759] 0.33211709 0.12786561 0.21526368 0.50004464 0.29381862 0.12159091
## [4765] 0.24744281 0.17945075 0.09666667 0.13388848 0.26325798 0.21176471
## [4771] 0.45716429 0.47000797 0.22211851 0.10456076 0.32778890 0.39766414
## [4777] 0.44418528 0.52072238 0.04882970 0.42350116 0.46554453 0.37799114
## [4783] 0.30626630 0.40695798 0.48082639 0.23521312 0.11449565 0.10614035
## [4789] 0.20622389 0.19335069 0.19326105 0.25844920 0.17033333 0.47467372
## [4795] 0.49883635 0.05790094 0.17949561 0.49860419 0.49739961 0.26601732
## [4801] 0.49917412 0.29211159 0.23190395 0.19719818 0.29925595 0.50000000
## [4807] 0.34090278 0.49689542 0.20690599 0.49401992 0.48586335 0.29579890
## [4813] 0.35656966 0.36805640 0.49650317 0.16918628 0.40643116
##
## $betaiovl
## ORN ID ORS CA WY
## 0.11650589 0.11168143 0.09077233 0.12853141 0.16295352
##
## $betaW
## [1] 0.1220889